Field Engineer Salary in Sunnyvale, CA

DESCRIPTIONAs a Sr. Display Material and Process Engineer, you will engage with an experienced cross-disciplinary staff to conceive and design innovative consumer products. You will work closely with an internal interdisciplinary team, and outside partners to drive key aspects of product definition, execution, and test. You must be responsive, flexible, and able to succeed within an open collaborative peer environment. In this role, you will:• Work with a component engineering team and product engineering team to provide stack design, rapid prototyping and characterization of next generation on displays for Amazon products• Provide support for prototyping and manufacturing of displays through proper selection of materials for user facing surfaces, adhesives (optical and non-optical), encapsulation, lamination process, sensor selection• Use statistical analysis tools such as Minitab, JMP for design of experiment and data analysis• Work with cross-functional team to draft component specification, design reviews, work with vendors to manufacture parts and validate results by specifying test parameters and methodologies• Communicate and manage overseas component manufacturing vendorsWe are open to hiring candidates to work out of one of the following locations:Sunnyvale, CA, USABASIC QUALIFICATIONS- Bachelor’s degree in Materials Science, Chemical Engineering, Optical Engineering, Electrical Engineering, Physics, Mechanical Engineering or related field- 3+ years of experience in the consumer electronics or related as a materials or process engineer working on displays, encapsulation, lamination, sensor process, optical bonding, display or touch technology development- Experience in Minitab, DOE principles, basic statistical process control- Experience with display component characterization and product integration- Patent or publishing experience- Experience leading / delivering in cross-functional teams- Experience in managing vendor based projects- Ability to travel internationally when requiredPREFERRED QUALIFICATIONS- Master's degree or PhD in Materials Science, Chemical Engineering, Optical Engineering, Electrical Engineering, Physics, Mechanical Engineering or related field- Experience in Matlab programming Proficiency in at least one of the following CAD packages: Creo or Solidworks- Experience/course work in OLED technology background, flexible displays, printed electronics, sensor development and integration, optical bonding, process optimization, process development, optical coating, optical testing, and optical materials- Experience working with international, cross-functional teams- Excellent verbal and written communication skills Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $114,300/year in our lowest geographic market up to $213,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

DESCRIPTIONProject Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. The Kuiper Software group is responsible for all production software at Kuiper. The Software Health Automation team owns the Kuiper Software lab and provides lab as a fully managed service. We make it possible to develop, build and test the code on real hardware. In this role, you will design, build and maintain the lab infrastructure. You will be hands on, making sure lab environments are highly available, while scaling team’s processes to ensure long term success. You will work hand in hand with development teams from software and hardware as well as program management and other stakeholders to make sure we can rapidly deliver high quality software.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Key job responsibilitiesKey job responsibilities:* Design, set up and maintain test fixtures to verify software on real hardware* Write software and scripts for operations to keep things running and highly available* Troubleshoot software and hardware problems with pre-production equipment* Contribute to engineering efforts from design to implementation, solving complex technical challenges around developer and engineering productivity and velocity especially as it relates to rapid test iteration* Design and build advanced automated build, test and release infrastructure* Drive adoption of best practices in code health, testing, and maintainabilityA day in the lifeThe successful applicant will be experienced in keeping technical infrastructure running smoothly and balancing high priority issues. You should be comfortable taking on ambiguous challenges like setting up new pre-production hardware for the first time. You should be able to define runbooks, standard operating procedures, metrics and alarms to keep equipment and test infrastructure highly available and expand the teams capabilities over time. You will be invaluable to enabling the team to move quickly and confidently with robust verification frameworks that scale with our systems.About the teamThe Kuiper Software Health Automation team owns labs, tools and software for verifying the quality of our networking equipment before release. This software will be operating both on the ground and in space. The team raises our high quality bar before our software reaches customers.We are open to hiring candidates to work out of one of the following locations:Sunnyvale, CA, USABASIC QUALIFICATIONS- Bachelor's degree- 6+ years of systems development in an IT or data center environment experience- 5+ years of deploying and operating in a Linux/Unix environment experience- 5+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience- 3+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience- 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- 2+ years of systems design, software development, operations, automation, and process improvement experiencePREFERRED QUALIFICATIONS- * Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or similar technical field.- * 5+ years of experience in any of the following: test lab support, operational hardware support- * 5+ years of experience in computer networking (admin level)- * Highly autonomous, very detail oriented, and willing to learn new skills- * Excellent written and verbal communication skills, and an ability to interact efficiently with peers and customers is required- * The desire and ability to work in a fast paced, collaborative environment is essential- * Experience in communicating with users, other technical teams, and management to collect requirements, evaluate alternatives and develop processes and tools as needed to support the organization- * Knowledge of industry standard test automation tools and experience in developing product test harnesses and instrumenting products to gather test results- * Experience creating and expanding powerful automated testing tools and frameworksAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $121,000/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

*#main-wrapper { background: (204,204,204); width: 100.0%; } Service Engineer EAG Laboratories is a global scientific services company serving clients across a vast array of technology-related industries. Through multi-disciplinary expertise in the materials and engineering sciences, EAG helps companies innovate and improve products, ensure quality and safety, protect intellectual property and comply with evolving global regulations. EAG employs 600+ employees in seven countries, across 17 laboratories serving more than 4,000 clients worldwide. EAG Laboratories is looking for a Service Engineer to be responsible for repair and maintenance of analytical instruments and ancillary equipment. The position will primarily support the instruments in the Sunnyvale, California lab with periodic travel to other EAG laboratories to include Minneapolis, Shanghai, Taiwan, Sunnyvale, El Segundo and occasional travel to other sites. Use of information in this role is subject to the International Traffic in Arms Regulations (ITAR). All accepted applicants must be U.S. Persons as defined by ITAR: a U.S. Person is a U.S. Citizen, U.S. Permanent Resident (i.e., "Green Card Holder"), Political Asylee, or Refugee. Employee Responsibilities: Troubleshoot and repair, on an emergency basis, faulty instruments (SIMS, Auger, XPS, etc.) and peripherals (vacuum pumps, chillers, UPS, etc.), providing rapid response and minimizing downtime. Perform and log routine/preventive maintenance on instruments and peripherals according to maintenance plan/schedule. Find new sources or develop/design upgrades for obsolete parts and assemblies. Provide technical support and training to service team members. Maintain and organize adequate stock levels of spare parts and peripherals. Maintain, organize, and create technical documentation, procedures, schematics, work instructions, and parts lists. Provide timely updates to management in the form of status reports and service reports. Assist with the development and implementation of computer based service management system. Assist and support facility/infrastructure when needed to maintain suitable working environment for instruments. The Ideal Candidate would possess: The individual should have experience of 3-5 years trouble shooting and repairing high voltage circuitry, high vacuum systems, analog/digital circuitry, electro-mechanical assemblies, and related systems. Experience with Cameca and Physical Electronics systems a plus. Must be highly skilled in proper use of tools of trade, able to operate independently and as part of team, provide and follow written and verbal instructions, effectively utilize multiple forms of communication (e-mail, phone, etc.), and maintain a professional and cordial manner towards co-workers, vendors, and customers throughout the daily execution of duties. Education: BE/BS or equivalent in physics, electronics or electrical engineering. What we offer: Excellent full time benefits including comprehensive medical coverage, dental, and vision options Life and disability insurance 401(k) with company match Paid vacation and holidays To learn more about EAG Laboratories, a Eurofins company, please explore our website www.eag.com . Eurofins is a M/F, Disabled, and Veteran Equal Employment Opportunity and Affirmative Action employer.

DESCRIPTIONAmazon Devices is an inventive research and development company that designs and develops high-profile devices like the Kindle family of products, Fire Tablets, Alexa, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing its next generation SOC’s for the machine learning enabled consumer products. We are looking for exceptional engineers and engineering leaders to join our SOC development team and help develop the next generation of chips based on a revolutionary architecture. The team that built the innovative Silicon IP AZ1 Neural Edge that is powering the latest generation of Echo devices is looking for a Senior SoC Integration Design Engineer to continue to innovate on behalf of our customers.Work hard. Have Fun. Make history.Key job responsibilitiesIn this role, you work in a team developing SoCs to be deployed in a range of Amazon devices. You will integrate industry standard and custom hardware IP and subsystems into SoCs to accelerate applications in machine learning, computer vision and robotics. You will work closely with System Architects, SoC architects, IP developers and physical design teams to develop SoCs that meets the power, performance and area goals for Amazon devices. You will help define the processes, methods and tools for design and implementation of large complex SoCs. Develop chip level and subsystem level netlists integrating IPs and new design.• Work with Chip Architects to understand architecture and high-level product requirements.• Convert Chip Spec into RTL using internal IPs and external IPs.• Review Architecture and Design of custom IPs for integration into SOC’s. • Design & Develop RTL for Interfaces, Power Management, Clocking, Reset, Test & Debug.• Develop and implement methodologies for I/O, DFT, Debug, Clocking and Power Management.• Provide technical leadership through lead by example, mentorship and strong team work. We are open to hiring candidates to work out of one of the following locations:Sunnyvale, CA, USABASIC QUALIFICATIONSBS degree or higher in EE or CE or CS5+ years or more of practical semiconductor design experience including full-chip and subsystem RTL integration.Experience in micro-architecture definition from architecture guideline and model analysis.Experience in RTL coding (Verilog/System Verilog) and debug, as well as performance/power/area analysis and trade-offsExperience in closing full-chip and subsystem timing working with synthesis and static timing analysis teams.Experience with DFT tools for scan and BIST insertionExcellent verbal and written communication skills, collaboration and teamwork skills as well as ability to contribute to diverse and inclusive teams.PREFERRED QUALIFICATIONSMS or PhD degree in Computer Engineering/Electrical Engineering or related field.Design experience in Datapath, flow control, Arbitration, FIFO, DMA , IOMMU, SOC bus architectures, Arteris NOC interconnect, ARM’s AXI/AHB bus architecture & Protocols, Serial interfaces such as PCIe, QSPI, I2C,UART, EMMC, USB. LPDDR controller & Phy IP integration, embedded memory (SRAM, OTP etc;.) Other IP integration such as ADC, PLL, DLL, PVT sensors, GPIO & Debug (Coresight).In-depth knowledge of in one or more areas such as CPU, DSP, or programmable accelerators.SOC bring-up and post silicon validation experienceExperience with early RTL power analysis.Experience with gate level testing and multi clock design practices.Successful tape outs of complex, high-volume SoCs in advanced design nodesExperience working closely with physical design teams to develop highly optimized ASICs with excellent power, performance and area.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

What you'll do atPosition Summary...What you'll do...About the team:Join our Walmart's Display Ad team of skilled engineers and help shape the performance optimization strategies of our cutting-edge systems. If you're a passionate and driven individual with a knack for uncovering system bottlenecks and fine-tuning performance, we encourage you to apply and be a part of our innovative journey.Position Overview:We are seeking a talented and experienced Java Performance Engineer to join our team of skilled professionals. As a Performance Engineer, you will play a critical role in ensuring the optimal performance of our systems. The ideal candidate should possess a deep understanding of Java applications, have the ability to identify and resolve system issues and performance bottlenecks, and be comfortable working in complex distributed systems across multi-cloud environments.What You'll Do :Collaborate closely with cross-functional teams including developers, architects, and operations to identify performance bottlenecks, system issues, and areas for optimization.Conduct thorough performance analysis of Java-based applications through profiling, monitoring, and benchmarking to identify performance degradation and suggest improvements.Deep dive into the codebase to understand the root causes of performance issues, including resource contention, memory leaks, and suboptimal algorithms.Develop and execute performance testing strategies to simulate real-world scenarios, stress-test system components, and uncover performance limitations.Design, implement, and execute performance experiments to evaluate the impact of code changes and system configurations.Work hands-on to fine-tune system parameters, configurations, and resource allocation to achieve optimal performance results.Collaborate with development teams to provide guidance and recommendations on code optimizations, caching strategies, and concurrency enhancements.Utilize performance monitoring and profiling tools to track and analyze system behavior, and proactively address potential bottlenecks.Collaborate on designing and implementing performance-related features that enhance the overall scalability and efficiency of the systems.Document performance analysis findings, optimization strategies, and best practices for future reference.Stay current with emerging technologies, industry trends, and best practices related to Java performance and distributed systems.What You'll Bring:Bachelor's degree in computer science, Software Engineering, or a related field. Master's degree is a plus.Proven experience (8+ years) as a Performance Engineer, preferably with a focus on Java-based systems.Proficiency in Java programming language and deep knowledge of Java internals, memory management, and threading.Strong experience with performance profiling tools and techniques to identify bottlenecks in code and system components.Solid understanding of distributed systems architecture and design principles.Familiarity with multi-cloud environments and hands-on experience in optimizing applications for cloud deployment.Ability to analyze and interpret performance metrics to make informed decisions on system optimizations.Experience with performance testing frameworks and load generation tools.Familiarity with containerization technologies (e.g., Docker, Kubernetes) and their impact on application performance.Strong problem-solving skills with the ability to troubleshoot and debug complex systems.Excellent communication skills to collaborate effectively with cross-functional teams and present performance analysis findings.Ability to work independently and take ownership of performance-related tasks and projects.Certifications in performance engineering or relevant cloud platforms is a plus.Openness to learning new technologies and adapting to evolving challenges.About Walmart Global TechImagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That's what we do at Walmart Global Tech. We're a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world's largest retailer, delivering innovations that improve how our customers shop and empower our 2.3 million associates. To others, innovation looks like an app, service, or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human led is our true disruption. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Flexible, hybrid workWe use a hybrid way of working that is primarily virtual, while remaining near the locations Global Tech calls home. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Of course, being together in person is an important part of our culture and shared success. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities.Benefits:Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity Employer:Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas, and opinions - while being inclusive of all people.At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices .Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart at https://bit.ly/3iOOb1J .The annual salary range for this position is $144,000.00-$216,000.00Additional compensation includes annual or quarterly performance incentives.Additional compensation for certain positions may also include:- Regional Pay Zone (RPZ) (based on location)- Stock equity incentivesMinimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor's degree in Computer Science and 4 years' experience in software engineering or related field. Option 2: 6 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science and 2 years' experience in software engineering or related field.3 years' experience in data engineering, database engineering, business intelligence, or business analytics.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master's degree in Computer Science or related field and 4 years' experience in software engineering or related fieldPrimary Location...600 WEST CALIFORNIA AVENUE, SUNNYVALE, CA 94086-2486, United States of America About WalmartAt Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability-and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries-all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people."The people you work with are ready to help without hesitation to make sure you succeed, it's just part of the culture." - Shelby, Project AnalystHello, Silicon ValleyYou don't have to choose between your career and your lifestyle in Silicon Valley. Here, you can have both.

Company Description At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. Job Description Primary Function of PositionWe are seeking an engineer to support the Intuitive Surgical team focused on new product development tools and process. The engineer in this position will help develop, verify, and deploy new engineering tools (for internal use) and processes in compliance with established Design Control DOPs and associated processes. The ideal candidate is a quality focused self-starter with excellent problem-solving skills, a keen attention to detail and a passion for software architectures and processes. The candidate must have a functional understanding of Medical Device regulations and experience implementing compliant requirements management or test management processes and automation tools.Essential Job DutiesSupport validation testing of Design Control Tools and Processes by following testing strategy and writing test cases to ensure design requirements are met.Design and implement UI features and ancillary scripts using Python, JavaScript, SQL and VelocityTest and debug scripts, queries, dashboards, and reports from toolsWork with cross-functional teams to identify pain points, inefficiencies, and potential areas of design control gaps.Collaborate with business stakeholders to understand requirements and translate them into solutions to deliver approved tools and process improvements/optimizations.Enterprise-wide tools development, verification, support, and training.Configuration, maintenance, and administration of corporate Design Controls tools and data content.Develop tools, templates and optimized workflows that improve product development productivity.Support compliance with global medical device deliverables including submissions and DHFs.Develop and assist in delivery of training to help drive adoption of Design Control processes and tools across the company.User support for documentation and traceability reports for regulatory submissions. Qualifications Required Skills and ExperienceBasic Understanding of Medical Devices Design Controls regulations (FDA CFR/QSIT, MDR, ISO 13485, ISO 14971)Programming skills in Python, JavaScript, Velocity, SQL, and/or HTMLBasic understanding of database architecture and design strategyRequirements Management excellence to help translate technical details into unambiguous, testable, reusable requirements and specificationsUnderstanding of multiple technology areas (software, mechanical, electrical, biomedical, clinical, robotics, test automation, etc)Ability to help end users from cross functional teams to efficiently create fully documented, robust, and reliable medical devicesDetail-oriented and quality focused with excellent investigative skillsStrong communication skills with experience in training end users including developing training content and addressing user support questionsRequired Education and TrainingBachelor's Degree in Engineering/CS related field required. Master's degree preferred.1-3 years of previous related experience in medical device development, applications engineering, systems engineering, software development, requirements management, test management, and/or regulatory documentationExcellent verbal and written communication skillsExcellent planning and time management skillsHighly proficient in Word, Excel, Visio, and PowerPointWorking Conditions Set Schedule (on-site 3+ days per week) Preferred Skills and Experience Proficiency in Oracle/AgileExperience with using automated test execution tools such as but not limited to MF ALMExperience with using Application Lifecycle Management (ALM) Tools such as Polarion, MKS/PTC Integrity, DOORS, HP ALMAdditional specialized training in a discipline such as software engineering, test engineering, quality, risk management, or regulatory compliance.Knowledge of Part 11 compliance for electronic signature and digital records Additional InformationDue to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.Intuitive is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.Base Salary Range Region 1: $100,300 USD - $135,700 USD Base Salary Range Region 2: $85,300 USD - $115,300 USD Shift: Day Travel: 10% of the time Workplace Type: Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader.

Company Overview: LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.Location: At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.This role will be based in either Sunnyvale, CA or New York, NY.Team Overview:Foundational AI Technologies (FAIT) organization stands as the innovation epicenter, addressing the fundamental AI challenges and the force behind LinkedIn's next-generation AI-driven member experiences. Our mission spans across the entire marketplace, leveraging our expertise in data curation, algorithm development, and robust infrastructure to spearhead AI innovations. We are dedicated to creating a transformative impact on all LinkedIn products, establishing the platform as a leader in the AI realm.Responsibilities:As a Staff Engineer at LinkedIn, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our members' platform activities and industry trends to create personalized recommendations that are delivered to our members at the optimal moment.• Work with BIG data (petabyte scale environment), crunching millions of samples for statistical modeling, data mining, recommendation solutions• Design system architecture, implement scalable data pipeline and serving service, write production quality code and influence the next generation of LinkedIn's system• Collaborate with 10+ machine learning engineers to deliver impact on LinkedIn newsfeed• Build scalable AI innovations with foundation and infra partners• Provide technical leadership to team and drive cross-functional communicationBasic Qualifications:• Bachelor's degree in Computer Science or related technical field or equivalent practical experience• 4+ years of industry experience in system design, development, and algorithm related solutions.• 4+ years of coding experience utilizing programming languages such as Java, Python, or Scala• 4+ years experience with data engineering, data infrastructure, and/or machine learningPreferred Qualifications: • 7+ years of relevant industry experience• MS or PhD in Computer Science or related technical discipline• At least one year of experience in the Machine Learning or AI domain, working with technology infrastructure related to Deep Learning, Large Language Models (LLM), Generative AI (GAI), Natural Language Processing (NLP), or other areas.• Experience developing large scale enterprise grade systems and/or infrastructure• Experience with Spark, Tensorflow and Java.• Experience working with streaming solutions (Kafka, Samza, etc.)Suggested Skills:• Distributed Systems Design• Technical Leadership Experience• Ability to solve complex technical problems• Knowledge of machine learning, optimization algorithms, and/or deep learningYou will Benefit from our Culture:We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.Compensation:LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $156,000-$255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.Equal Opportunity Statement:LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation.Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:-Documents in alternate formats or read aloud to you-Having interviews in an accessible location-Being accompanied by a service dog-Having a sign language interpreter present for the interviewA request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.Pay Transparency Policy StatementAs a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.Global Data Privacy Notice for Job CandidatesThis document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.This role will be based in Sunnyvale or San Francisco. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.We are looking for an experienced Staff Engineer for the Anti-Abuse AI organization. The mission of the Anti-Abuse AI team is to build trust in every interaction on LinkedIn. The team uses a wide suite of state-of-the-art Machine Learning techniques to identify patterns in large-scale attacks and take down attackers proactively. This engineer will help lead the effort to build detection and prevention algorithms, models, and systems that can stay ahead of attackers in an adversarial space.LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation.Responsibilities:• Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation solutions• Write production quality code and influence the next generation of LinkedIn's system• Build scalable AI innovations with foundation and infra partnersCollaborate with other engineers to deliver state-of-the-art solutions for the most complex problems to keep members safe on the platformBasic Qualifications:• Bachelor's degree in Computer Science or related technical field or equivalent practical experience• 4+ years of industry experience in software design, development, and algorithm related solutions.• 4+ years experience programming languages such as Java, C/C++, Python, etc.Experience with machine learning, optimization algorithms, deep-learning techniquesExperience in anti-abuse.Preferred Qualifications:?• 6+ years of relevant machine learning experience• MS or PhD in Computer Science or related technical discipline• Experience developing large scale systems• Experience with Spark, Tensorflow and Java.• Previous leadership or mentorship experience is preferred• Ability to diagnose technical problems, debug code, and automate routine tasks• Analytical approach coupled with solid communication skills and a sense of ownershipExperience in account security (account take overs) and/or fake accounts.Suggested Skills:Experience leading engineers to tackle a large-scale AI problemStrong technical background & Strategic thinkingAnti Abuse AI ExperienceYou will Benefit from our Culture:We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $156,000-$255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice

DescriptionLinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers hybrid option. This means you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.LinkedIn is looking for a Distinguished Engineer with expertise in platforms and infrastructure to provide thought leadership for Data Infra organization. Data Infra builds scalable, highly available, secure, easy to use and cost-efficient infrastructure that powers LinkedIn's applications and infra systems. It covers a portfolio of products and services that allow applications to store, access/query, process and manage data. Our roadmap is bursting with great ideas and we are looking forward to having this distinguished Engineer help in solving intriguing technical challenges and building robust infrastructure that will help engineers to build cutting-edge experiences at scaleAs a Distinguished Engineer at LinkedIn, you will lead technology vision and development for Data Infrastructure Org. You will have the opportunity to architect and lead the next generation of AI-first infrastructure that powers LI's Business . From Data Processing pipelines to storage systems to Online data infra to driving business impact - you will get to experience all. The successful candidate will be a strong thought leader in the technology space, with the ability to build and execute at scale, inspiring and guiding a large team of engineers solving big problems.As a key leader in the organization, you will be responsible for innovation, implementing tech strategy, staying ahead and influencing adoption of industry best practices in building and scaling state of the art InfrastructureResponsibilities:• Develop a strong understanding of LI's Core Infrastructure and its trends and provide domain expertise to the team.• Head cross team/cross functional discussions and drive alignment on product/technology strategy, influencing decisions• Help define technical strategy& leverage business and domain acumen to interpret and translate business requirements to architecture/technology plans.• Help build highly scalable systems and applications to enable the organization to achieve its goals.• Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. Define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices.• Establish a culture that values diverse viewpoints while navigating complex decisions.• Publish, present, and contribute as a thought leader in the field of Infrastructure• Advise LinkedIn executives on a broad range of technology, strategy, Policies and best practices to build Infrastructure at scale• You believe in building relationships at all levels and can seamlessly work in a cross-functional team set up with distributed ownership. You partner with teams across the globe to foster a culture of collaboration and can own and drive large scale initiatives.• Identify problems, opportunities and advise, architect, design and operationalize Tech solutions.• Be part of the TLG (Technology Leadership Group) contributing to the overall strategy & roadmap considerations• Evangelize and inspire best practices across LI to transform them towards thinking AI-first Infrastructure• Establish a culture that values diverse viewpoints while navigating complex decisions• Lead by example to build a culture of craftsmanship and innovation.• Provide mentorship to other senior engineering talent• Assume hands-on leadership, especially when helping teams resolve complex problemsBasic Qualifications:• PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience• 10+ years of relevant work experiencePreferred Qualifications:• 10+ years' experience in building robust Platforms with at least 5 of those years in a technical or scientific leadership position• Experience in designing and implementing platforms at scale to solve complex business problems• Experience leading complex technical projects with multiple stakeholders• Experience in leading large scale development projects from concept to multiple releases in production• Experience of technical leadership guiding and mentoring top engineering and operations talent• Experience leading high-impact, cross-company initiatives• Dream big. Make big, bold moves to define and build the next generation of Infrastructure."Suggested Skills"• Building Enterprise Applications and building innovative platforms from scratch and scaling through hypergrowth• Developing Technology Strategy at a company-wide scale• Technical leadershipLinkedIn is committed to fair and equitable compensation practices.The pay range for this role is $229,000 to $375,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.#LI-HYBRIDEqual Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.This role will be based in Sunnyvale or San Francisco.At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. This is a full-time engineering role based in San Francisco or Sunnyvale, CALinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. Responsibilities:• Building and deploying relevance models that power our various recommender systems and personalized intent engines• Keeping scalability and performance in mind through your design and engineering choices.• You will explore novel approaches for machine learning ranking and modeling downstream impact, as well as new ways of creating new product features by leveraging the cutting edge machine learning techniques in Generative AI, NLP.• You will work with big data and analyze tracking data to understand member preferences and identify opportunities for taking the products you work on to the next level.• You will work directly with partner data science, product, and infrastructure teams to take your ideas from conception to production.Basic Qualifications:• Bachelor's degree in Computer Science or related technical field or equivalent technical experience• 1+ year of industry experience in software design, development, and algorithm related solutions.• 1+ years experience programming languages such as Java, C/C++, Python, etc.Preferred Qualifications:?? 1+ years of relevant work experience? MS or PhD in Computer Science or related technical discipline? Experience with machine learning, data mining, and information retrieval or natural language processing is not required but is helpful? Experience developing large scale systems? Knowledge of recommendation systems? Ability to diagnose technical problems, debug code, and automate routine tasks? Analytical approach coupled with solid communication skills and a sense of ownershipSuggested Skills:• Experience in Machine Learning and Deep Learning• Experience in Big Data • Strong technical background & Strategic thinkingYou will Benefit from our Culture:We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $107,000-$176,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice