Infrastructure Engineer Salary in Sunnyvale, CA

What you'll do atPosition Summary...What you'll do...Job Summary:We are looking for an experienced Distinguished Engineer, AI Systems, to help us build the foundation of our Generative AI platform and the eco-system of services. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our platform while helping to design and implement key services.What you'll do:Design and build fault-tolerant infrastructure to support long-running and large-scale training tasks resilient to failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Produce roadmaps across the technical scope, including consulting on objectives and key results across teams, reviewing designs, participating in and resolving technical discussions, and driving engineering investments for Core ML. Design and implement benchmarks to measure the performance of software systems within a Generative AI Platform and make recommendations on technology selection. Develop applications that leverage LLMs and FMs, e.g. conversational AI. Design and implement platform capabilities to support MLOps for foundation models. Algorithm optimization: Optimize AI algorithms and models for improved performance, efficiency, accuracy, and scalability. Apply techniques such as hyperparameter tuning, feature engineering, and model selection to enhance the quality and reliability of AI systems. Collaborate with cross-functional teams: Work closely with researchers, data scientists, and other stakeholders to understand their needs, gather requirements, and develop AI-driven solutions. Collaborate with domain experts to ensure that AI models and systems align with regulatory and industry standards. Documentation and reporting: Prepare technical documentation, reports, and presentations to effectively communicate AI methodologies, results, and recommendations to both technical and non-technical audiences. Maintain clear and concise documentation of AI models, code, and processes. Stay updated with the latest advancements: Keep abreast of the latest advancements in AI, machine learning, and industry trends. Stay informed about regulatory guidelines, data privacy, and ethical considerations related to AI applications in the Retail domain. What you'll bring:Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 9 years of experience designing and building distributed computing/HPC and large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with GenAI technology stack including frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine tuning. Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications. Experience training and maintaining large language models. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. About Walmart Global TechImagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. 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 work:We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.Benefits: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.The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.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 $140,000.00-$240,000.00Additional 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, computer engineering, computer information systems, software engineering, or related area and6 years' experience in software engineering or related area.Option 2: 8 years' experience in software engineering or related area.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Master's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related areaPrimary Location...840 W CALIFORNIA AVE, SUNNYVALE, CA 94086-4828, 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.Hello, Silicon ValleyYou don't have to choose between your career and your lifestyle in Silicon Valley. Here, you can have both.

DESCRIPTIONEver wonder how Elastic Cloud Computing (EC2) instances are made and run, or how EC2 automates server provisioning around the world? Are you passionate about technology and solving hard problems? Do you want to grow your skills as you help us grow the world's largest cloud computing service? Do you want to make history and have fun doing it? If so, Amazon Web Services (AWS) EC2 is looking for people just like you! EC2 is at the core of AWS services and we are growing every day to meet the demands of our business as we continue to scale.EC2 Nitro drives the planet’s largest, fastest growing and most feature-rich compute cloud. Nitro is AWS’s ground-up design for virtualization at global scale built on a fully custom stack of hardware, firmware and applications. Nitro has enabled EC2 to support Intel, AMD and Amazon’s custom silicon - Graviton2 - while raising the industry bar for security and performance across our product line. The EC2 Server Provisioning team is the assembly line for EC2, turning new servers into EC2 virtualized hosts running customer workloads across the globe. Every EC2 customer instance running on every host-type, in every data center , across the globe has passed through services operated by this team. Engineers on EC2 Server Provisioning become subject matter experts on distributed, asynchronous services running at global scale.The EC2 Provisioning team lays the foundation on which every EC2 service - both internal and external - runs. The team is responsible for the software infrastructure that is required to make racks of hardware received from manufacturing into cloud infrastructure that allows our customers to run the wide variety of EC2 instances that are available today. The scale of this problem spans many millions of this devices across globe and every new EC2 instance type launched is built through EC2 Provisioning services. To add some spice to the challenge - the infrastructure must be able to manage live devices without any down time to our customer and keep the growing EC2 fleet healthy.A day in the lifeThe infrastructure and technologies needed are growing and innovating at rapid pace. Work is primarily done in Java and includes the full lifecycle of software development including: requirements, system design, implementation, testing, monitoring, support, alarming, and reporting. We own our software end-to-end. Software Development Engineers work closely with EC2 Principal Engineers and other technical leaders to refine technical direction, and then follow through with detailed analysis, designs, and high quality code.We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USA | Sunnyvale, CA, USABASIC QUALIFICATIONS- 7+ years of non-internship professional software development experience- 7+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS- 10+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon 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 $134,500/year in our lowest geographic market up to $261,500/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.

DESCRIPTIONAmazon API Gateway is changing the way that companies big and small think about APIs. API Gateway is the front-door of the Serverless revolution, an approach that lets customers turn business logic and application code into scalable, fault-tolerant production systems without requiring every developer to become an expert in distributed systems, deployment technologies, and infrastructure management. API Gateway turns daunting tasks such as traffic management, authentication and authorization, monitoring and API versioning into easily configurable steps. It then helps companies to build their developer eco-systems and turns their data sets and business logic into new revenue streams.We are looking to grow our API Gateway console development team to help design and deliver new customer facing features for our HTTP APIs product and migrate our REST APIs product to the HTTP APIs platform. We acknowledge that there's room for improvement in our customer experience so we're looking for engineers who are customer obsessed. Being customer obsessed will ensure we're delivering a user interface that exceed our customers expectations. We have a modern React JS based code base that leverages AWS component based design system. For this role in specific, our ideal candidate has a deep understanding of browser technology along with ReactJS, Redux, CSS and HTML. Which will enable them to help set the technical direction for our front end solutions.As a member of the team, you will work with a group of talented, mission-focused colleagues to propose ideas and to design, build, and evolve production AWS systems. You will have the opportunity to talk with customers to understand their needs; you will see them adopt the technology you build; and you will use their feedback to inform future development. Depending on your interests, you may work on a broad range of technical problems or you may focus on full-stack development, back-end distributed systems engineering, space and time optimization, or programming model design and implementation. Regardless of the path you choose, you will grow your skills, solve hard problems, and ship software to customers, learning from and mentoring others along the way.If you are excited by the prospect of making it easy for developers to build and operate distributed systems, and are intrigued by any of the details above, please reach out – we would love to hear from you. To learn more about API Gateway, visit the Amazon API Gateway page: http://aws.amazon.com/api-gatewayInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the futureWe are open to hiring candidates to work out of one of the following locations:Sunnyvale, CA, USABASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon 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 $115,000/year in our lowest geographic market up to $223,600/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.

A DC engineer is needed to work on-demand for one of our clients. The following duties should be able to be carried out by the engineer:Deployment / In-Scope Configuration Items Servers (Virtual & Physical) Storage & Backup Devices Server Appliances Hyper Converged Infrastructure (E.g. Nutanix, Cisco UCS) Tape Storage Units Power Distribution Units rated 3KVA and below SAN Fabric Switches Network Switches KVM Units WAN Optimization Devices Firewalls Access Points Routers Physical Cabling Cable Management Cables which connect the device to itself, a peripheral, or a power/network port Break-fix / Technical Tasks List Power Cycling Running Diagnostics Commands Conducting whole unit replacement Inserting/Removing Media Replacing Defective Components Assist with fault diagnosis and investigation Configuring Remote Access Basic Storage Array Configuration Replacing faulty cables Tape Management and Maintenance Rebooting routers, servers, storage devices or other equipment Providing loop-back cables in order to test circuits remotely Re-seating or replacing components or cables Cleaning fibers Identify/Analyze fiber issues by using OTDR/LSPM/VFL Installing loop backs Racking, de-racking, and upgrade of any device installed Operations Tasks List Updating and Recording of activities in relevant IT Ticket Management System Coordinating and agreeing attendance time and date with key stakeholders Provide support either through phone, remote tools, or in person at onsite Perform installation as needed either through physical or network medium Coordinate the actual activity date and timing, including arrival and departure times Carry all necessary tools, laptops etc. which might be needed to support issues in the infrastructure environment Labeling, Patching and Asset Tagging activities Following specific task instructions and providing necessary reporting as necessaryJob Requirements:Technical Skills Good general understanding of IT principles such as Networks, Hardware and Domains Knowledge of Infrastructure (Data Center and Network) hardware architecture as to understand the procedure shared by L3 teams during troubleshooting,H&E support Knowledge of server/client operations in a domain environment including Active Directory Understanding of current and legacy hardware Infrastructure platforms Hands-on experience in installation and troubleshooting Infrastructure (DC & Network) equipment's, Rack and Stack of the equipment/cable Good Hands-on Experience in IMAC and Break-fix activities related to Infrastructure environment Ability to identify Excellent the right defective spares and replace them with provided good spares as instructed and by physical observations Knowledge of TCP/I P standards and networking Experience with Tape Management activities Excellent knowledge of best practices around management, control, and monitoring of server infrastructure Familiarity with backup and recovery software and methodologies Language skills needed English Soft Skills Exceptional customer facing skills Able to communicate clearly and effectively both with Client and the Customer Logical and analytical approach to work Accurate record keeping Able to work unsupervised Good timekeeper Intense focus on quality work Productive and Efficient Academic Background Bachelor of Engineering / Technology / Science or Equivalent Work ExperienceOverall Experience (in yrs.) 5 - 7 years (min

Meta is seeking an ASIC Engineer, Design to join our Infrastructure organization to build cutting edge ASICs in fields such as machine learning, video transcoding and network acceleration. This organization is responsible for building and maintaining the data centers that host all of our services - Facebook, Instagram, WhatsApp etc. These servers and data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. In this role, you will be an integral member of an ASIC team to build accelerators for some of our top workloads enabling our data centers to scale efficiently. You will have an opportunity to work with experts in the domain of video transcode, AI/ML and other technologies to evaluate algorithms, develop functional and performance models and help architect state-of-the art hardware accelerator ASICs. Come work and learn alongside our expert engineers to build "Green" data center accelerators. ASIC Engineer, Design (University Grad) Responsibilities: Participate in Micro-architecture, Design, and Verification reviews and provide feedback.Design and develop RTL or HLS code for some of the IPs.Analyze designs and enhance PPA (Power, Performance, Area).Support and develop Verification Infrastructure, analyze and improve Verification Coverage.Support Simulation accelerators and post-Silicon validation. Minimum Qualifications:Exposure to Micro-architecture development.Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.Exposure to RTL development using Verilog, System Verilog or HLS.Knowledge of Computer Architecture and Logic Design fundamentals.Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment. Preferred Qualifications:Currently has, or is in the process of obtaining, a Masters degree in Electrical Engineering, Computer Engineering or related engineering fields.Experience in data path development.Experience in HLS.Experience with Lint, CDC, Synthesis, & Power Optimization.Experience with High Performance Computing.Scripting capability with Python or Perl. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

Job Title Chief Engineer Job Description Summary The Sr. Chief Engineer is responsible for the effective daily leadership of his/her staff, managing the engineering program to the highest level of quality work and customer service as well as the administration of the engineering department in alignment with the management team, the C&W engineering platform, and client expectations. The Chief Engineer will perform at the highest of ethical standards, reflecting the core values of C&W as defined in its Business Code of Conduct, Policies and Procedures Manual, and other related company policies. Responsible for planning, implementing, coordinating, and supervising all mechanical operations, maintenance, communications, energy management, and manpower development programs for assigned properties. The Chief Engineer may be required to perform limited hands on operational duties Job Description GENERAL Monitors operation s and maintains refrigeration, water cooling and air conditioning equipment; boilers, heating, ventilating and hot water equipment; pumps, valves, piping and filters; other mechanical and electrical equipment; reviewing logs as necessary to assure proper operation of equipment; responsible for reporting any problems/malfunctions on an as need basis. Performs preventive maintenance (PM) tasks when required . Oversees repair and PM of HVAC systems , determines frequency of repair and/or P M for HVAC systems Ensures the availability of an adequate inventory of tools and other supplies to operate the building. Specific duties include but are not limited to- preparing and submitting purchase orders requests, developing sources for stock materials, and performing periodic checks of inventory levels and equipment conditions. Responsible for overseeing the activities of contractors working within the building either as representatives of the building itself or tenants operating within the buildings. Supervise and manage engineers and maintenance staff including hiring, training, and personal development Ensure that the SOPs for the facilities are well-understood amongst the maintenance who perform work on the building's critical infrastructure. Overs ees all capital improvements SAFETY Identif ies safety hazards within the building and incorporate the remediation of such hazards to ensure that the building's staff and occupants work in a safe environment. Implement, administer, and manage safety training program. Ensur es that compliance of all regulatory laws and guidelines are met as they relate to the operation of the building's infrastructure. Responsible for alerting management of building discrepancies. Maintain s all infrastructure and compliance documentation for the building , including up-to-date building drawings and single lines as well as documentation mandated for the purpose of maintaining regulatory compliance with Federal, State or Local law. TRAINING Provides training and support aimed at expanding the capabilities of the operations staff. Specific duties include , but are not limited to , demonstrating the proper use and care of tools and instruments, giving hands on instruction in basic maintenance, safety and troubleshooting procedures, recommending relevant outside engineering courses for enrollment and instilling an overall level of professionalism in manner and appearance. Ensures 100% on-time accomplishment of required training, for self and direct reports by assigning and tracking. FINANCIAL Partner with manager to meet financial targets and to create and administer the operating and capital budgets. Any and all other duties and tasks assigned. MINIMUM REQUIREMENTS 7+ years of related work experience in a commercial property setting or any similar combination of education or experience Vocational/Technical training certificate Appropriate license/permit for trade as may be required , i.e. Journeyman or Master Electrician License or City License s Universal Technician for CFC's depending on market licensure requirements Financial knowledge necessary for reading and understanding budgets, budget variances and basic reporting as required by management Familiar with Energy Management System s (EMS ) and Building Management Systems (BMS) Basic Computing Skills in Outlook, Excel & Word Ability to read and interpret construction drawings and OEM manuals WORK ENVIRONMENT This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. PHYSICAL DEMANDS While performing the duties of this job, the employee is regularly required to c ommunicate with others and exchange accurate information; operate a computer and other office productivity machinery; move about the workplace; remain in a stationary position for 30-40% of the time; and extend hands and arms in any direction. AAP/EEO STATEMENT C&W provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Further, the company takes affirmative action to ensure that applicants are employed and employees during employment are treated without regard to any of these characteristics. Discrimination of any type Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate's experience and qualifications.The company will not pay less than minimum wage for this role.The compensation for the position is: $87.16 - $87.16Cushman & Wakefield provides equal employment opportunity. Discrimination of any type will not be tolerated. Cushman & Wakefield is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by state, federal, or local law.In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or email [email protected] . Please refer to the job title and job location when you contact us.

DESCRIPTIONInclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the futureAbout the teamEC2 Nitro drives the planet’s largest, fastest growing and most feature-rich compute cloud. Nitro is AWS’s ground-up design for virtualization at global scale built on a fully custom stack of hardware, firmware and applications. Nitro has enabled EC2 to support Intel, AMD and Amazon’s custom silicon - Graviton3 - while raising the industry bar for security and performance across our product line. The Nitro Team is looking for engineers with systems knowledge and experience in area such as Linux OS boot sequencing, Kernel, Hypervisor (Xen or KVM), peripheral device development (PCIe or NVMe) and building compute infrastructure to support High Memory and High performance computing workloads.The Nitro High Memory and HPC team owns the purpose built platform development for the High performance computing workloads and database workloads like SAP, Oracle and SQL with tens of terra-byte of memories. Team interfaces directly with system BIOS for bare-metal instances and drives critical system interactions within the Nitro Hypervisor and across EC2 control-plane services. We need engineers with the dive-deep and ownership to work across domains (such as PC peripheral firmware or Linux Kernel internals) to deliver features and new instance types for our customers. Work is typically done in C/C++ or Rust with supporting script and tests in Python and Lua. We are open to hiring candidates to work out of one of the following locations:Sunnyvale, CA, USABASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon 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 $115,000/year in our lowest geographic market up to $223,600/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.

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

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