Salary in Santa Clara, CA

Must have one year minimum experience in running a CNC or Manual gundrill machineRequirements and Qualifications:•High School Diploma or General Education Degree (GED) required.•Ability to function with minimal direction. Escalates issues as appropriate with the required level of urgency.•Ability to lift and/or move up to 50 pounds occasionally.•Strong working knowledge with basic measurement tools.•High level of conscientiousness and attention to detail.•Demonstrated ability to analyze and interpret information.•Strong oral and written communication skills.•High level of conscientiousness and attention to detail.•Basic hand and power tool use.•Good organizational skills.•Must be able to manage time and work efficiently.Technical Knowledge:•Communication•Develops knowledge of general industry practices and technology•Active Listening Demonstrates willingness to learn•Communication•Produces accurate and error-free communicationWorking ConditionsThis position routinely operates in a medium-noise, non-climate controlled facility with regular exposure to dust, residue and lots of cutting oil. Newer and old machinery is present.Physical Requirements:The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.This role requires the employee to occasionally stand; walk; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; talk or hear. The employee must occasionally lift or move office products, supplies, and equipment up to 50 pounds.

DESCRIPTIONAWS AI/ML is looking for world class scientists and engineers to work on foundation models, large-scale representation learning, and distributed learning methods and systems. At AWS AI/ML you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and innovate on new representation learning solutions. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas:- Hardware-informed efficient model architecture, training objective and curriculum design- Distributed training, accelerated optimization methods- Continual learning, multi-task/meta learning- Reasoning, interactive learning, reinforcement learning- Robustness, privacy, model watermarking- Model compression, distillation, pruning, sparsification, quantizationA day in the lifeInclusive 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 future.We are open to hiring candidates to work out of one of the following locations:Santa Clara, CA, USABASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPREFERRED QUALIFICATIONS- Experience using Unix/Linux- Experience in professional software developmentAmazon 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 $136,000/year in our lowest geographic market up to $222,200/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. Applicants should apply via our internal or external career site.

We're looking for hands-on engineers with expertise and passion in solving difficult problems in distributed systems, virtualized infrastructure, and highly available storage services. If this is you, at Oracle you can design and build innovative new systems from the ground up. These are exciting times in our space - we are growing fast, still at an early stage, and working on ambitious new initiatives. An engineer at any level can have significant technical and business impact. Cloud Engineering Infrastructure Development.Location: Santa Clara. Must be able to work in the office 3 days or more a week. As a Senior Member of Technical Staff, you will own the software design and development for major components of Oracle's Cloud Storage Infrastructure. You should be both a rock solid coder and a distributed systems generalist, able to dive deep into any part of the stack and low level systems, as well as design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn.Minimum Qualifications:• 6+ years of working in Cloud Storage• Experience building multi-tenant, virtualized storage infrastructure using modern C++.• 6+ years experience delivering and operating large scale, highly available distributed systems.• Strong knowledge of C++ and experience with scripting languages such as Python, etc.• Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals.• Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures.• Strong understanding of block or object storage systems, NoSQL systems, data management, and distributed persistence technologies.• Strong troubleshooting and performance tuning skills.As part of Oracle's employment process candidates will be required to complete a pre-employment screening process, after a conditional offer has been extended.Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

DESCRIPTIONAWS AI/ML is looking for world class scientists and engineers to join its AI Research and Education group working on deploying reinforcement (RL) and machine learning (ML) methods in real-world applications, studying, and building new approaches. Our vision is to advance the state-of-the-art in RL/ML especially as applicability of RL methods has not translated quite well to real world scenarios as they are known to be expensive to train, sample inefficient, sensitive to hyper-parameter settings, and lacking transferability to new tasks. Our team’s mission is to study these problems and make RL/ML approaches more robust and reliable. Building these solutions requires a solid foundation in machine learning and reinforcement learning technologies.We are seeking an Applied Scientist II for the team. This is a role that combines science knowledge (around machine learning and reinforcement learning), technical strength, and product focus. It will be your job to develop novel ML/RL systems and algorithms while working with the engineering team to integrate them into different projects. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.About the teamInclusive Team CultureAt 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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded scientist and enable them to take on more complex tasks in the future.We are open to hiring candidates to work out of one of the following locations:Santa Clara, CA, USABASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPREFERRED QUALIFICATIONS- Experience in professional software developmentAmazon 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 $136,000/year in our lowest geographic market up to $222,200/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.

Innova Solutions is immediately hiring for SLT Engineer in Santa Clara, CA Position type: Fulltime Location: Santa Clara, CA (Onsite) As a SLT Engineer, you will: Job Description: System Level Test Engineer works on system level diag, verification and post-silicon validation of some of the industry's most complex semiconductor chips. What you'll be doing: Develop and improve all aspects of testing Client GPU products. Your duties include characterization, yield enhancement and spec validation. Partner with other engineering groups including ASIC, DFT, ATE, silicon validation, fab process, software and quality teams to coordinate efforts and resolve silicon issues. Initiate and drive process improvements/preventative actions through root cause analysis. The ideal candidate will always look to improve workflows, products, functions, and methodologies while working multi-functionally to achieve the company goals. What we need to see: BSEE or MSEE degree (or equivalent experience) 5+ years of relevant product engineering work experience or similar hardware systems background Self-motivated with strong technical, interpersonal, written/oral communication skills Problem solving experience/ability Be able to quickly become a strong contributor both as an individual and as a member of highly productive team Software skills Experience with PC architecture, AGP/PCIe busses and DRAM/DDR is a plus Qualified candidates should APPLY NOW for immediate consideration! Please hit APPLY to provide the required information, and we will be back in touch as soon as possible. We are currently interviewing to fill this and other similar positions. If this role is not a fit for you, we do offer a referral bonus program for referrals that we successfully place with our clients, subject to program guidelines. ASK ME HOW. Thank you! Pankaj Shukla PAY RANGE AND BENEFITS: Salary Range*: $100k to $105k *Pay range offered to a successful candidate will be based on several factors, including the candidate's education, work experience, work location, specific job duties, certifications, etc. Benefits: Innova Solutions offers benefits( based on eligibility) that include the following: Medical & pharmacy coverage, Dental/vision insurance, 401(k), Health saving account (HSA) and Flexible spending account (FSA), Life Insurance, Pet Insurance, Short term and Long term Disability, Accident & Critical illness coverage, Pre-paid legal & ID theft protection, Sick time, and other types of paid leaves (as required by law), Employee Assistance Program (EAP). ABOUT INNOVA SOLUTIONS:Founded in 1998 and headquartered in Atlanta, Georgia, Innova Solutions employs approximately 50,000 professionals worldwide and reports an annual revenue approaching $3 Billion. Through our global delivery centers across North America, Asia, and Europe, we deliver strategic technology and business transformation solutions to our clients, enabling them to operate as leaders within their fields. Recent Recognitions: One of Largest IT Consulting Staffing firms in the USA - Recognized as #4 by Staffing Industry Analysts (SIA 2022) ClearlyRated® Client Diamond Award Winner (2020) One of the Largest Certified MBE Companies in the NMSDC Network (2022) Advanced Tier Services partner with AWS and Gold with MS Website: https://www.innovasolutions.com/ Innova Solutions is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. Innova Solutions is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment on the basis of race, color, religion or belief, national origin, citizenship, social or ethnic origin, sex, age, physical or mental disability, veteran status, marital status, domestic partner status, sexual orientation, or any other status protected by the statutes, rules, and regulations in the locations where it operates. If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment, please contact us at [email protected] or (770) 493-5588. Please indicate the specifics of the assistance needed. Innova Solutions encourages all interested and qualified candidates to apply for employment opportunities. Innova Solutions (HireGenics/Volt) does not discriminate against applicants based on citizenship status, immigration status, or national origin, in accordance with 8 U.S.C. § 1324b. The company will consider for employment qualified applicants with arrest and conviction records in a manner that complies with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws.

NVIDIA's invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement.What you'll be doing:Designing, implementing, and delivering innovations for managing GPU based AI servers with focus on UEFI development, Arm boot firmware development, server architecture, partner support, and building systems for enterprise.Collaborating with a global team of SBIOS developers on NVIDIA server designs.Working with NVIDIA partners to support server implementations.Partnering with Independent Bios Vendors (IBVs) to integrate NVIDIA firmware.Working closely with BMC, FPGA, etc. teams to ensure SBIOS features are designed with full product goals in mind.Partner with security team to ensure developed code is in line with product security goals.Working closely with hardware teams to influence hardware design and review HW architecture & schematics.Collaborate with QA/Test architects to produce proper test tools and automation for qualifying the whole system software and firmware stack.What we need to see:Bachelor's Degree or higher in Electrical Engineering or Computer Science (or equivalent experience), and 5+ yrs of proven experience, with demonstrated strong ability as individual contributor.Experience in Arm boot firmware development.Solid experience of end-to-end delivery of high-end enterprise servers from definition to customer deployment.Solid understanding of low-level interfaces between SBIOS, BMC and OS like I2C/SPI/PCIe/JTAG etc. PCIe enumeration, IO at platform level for enterprise systems.Experience working closely with HW teams, ODMs and vendors to introduce and support server platforms.Experience with C/C++ development, bash/python for scripting, and debugging skills in embedded Linux operating environments.You should possess excellent written and oral communication skills, good work ethics, high sense of teamwork, love to produce quality work and commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to exciting problems.Ways to stand out from the crowd:Background in SBIOS firmware development on Arm based Server platformsExpertise in Arm server achitectureNVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you!The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Location: Santa Clara, CA and various unanticipated locations throughout the U.S.Multiple positions availableJob Description:Analyze the new Medical Device Regulations (MDR) and compare against the Medical Device Directive (MDD) standards to identify key changes and plan for potential actions of remediation. Interact with key stakeholders from global business units and identify impacted products. Develop MDD to MDR transition strategy based on current CE Certification validity and commercial forecast. Work with product, regulatory and clinical teams to finalize product requirement gaps with respect to new Medical Device Regulations (MDR). Develop remediation plans. Roll out project strategy and schedules through a formal kickoff meeting. Initiate process and document workflows. Work with product and regulatory teams to implement design documents and labeling updates. Work with labeling function for the labeling artwork, translations, and release. Work with Global Medical Affairs to develop clinical documents. Update Design History File (DHF) to enable the product for notified body audit. Conduct final design review with MDD to MDR Transition plan. Prepare Summary of Technical Documentation (STED) to support Declaration of Conformity sign off for CE certificate renewal to implement product in the market. Work with Global Regulatory to initiate rest of the world product approvals. Work with marketing team and roll out the strategy for product implementation. Conduct periodic core team meeting and Senior Management Review (SRM) meeting to review milestone status and progress. Travel and work at client sites as assigned.Job Requirements:Requires Bachelor’s degree* or foreign equivalent in Computer Science, Engineering (Any), Information Technology, Computer Technology, Engineering Design Technology, Computer Information Systems, Management Information Systems or related field plus two (2) years of experience in the job offered, or related IT or engineering role. *Employer will accept a combination of education and experience as determined by a qualified evaluation service as equivalent to a Bachelor's degree. Base Salary: $88,483 - $90,000/Year (whatever range we reasonably expect to hire a candidate within based upon our internal salary grid). Exact compensation may vary based on skills, experience, education, and/or to comply with federal or state law. Travel and work at client sites as assigned.Please copy and paste your resume in the email body do not send attachments, we cannot open them and email them at candidates at placementservicesusa.com with reference #2703367 in the subject line.

Title: Jr. Dot Net DeveloperLocation: Santa Clara, CA (Remote)Experience: 6+ YearsJOB DUTIES:• Design, develop, and maintain .NET applications using WPF• Collaborate with stakeholders to gather requirements and define project objectives• Write clean, scalable, and maintainable code• Conduct code reviews and provide constructive feedback to team members• Troubleshoot and debug issues to ensure optimal performance and reliability• Stay updated on emerging technologies and best practices in .NET developmentRequirements:• Bachelor's degree in Computer Science, Engineering, or a related field• Extensive experience in .NET development• Proficiency in C#, WPF, and .NET Framework• Experience with version control systems such as Github• Strong understanding of object-oriented programming principles• Familiarity with agile development methodologies• Excellent problem-solving and communication skills• Ability to work effectively both independently and in a team environment• Expertise with unit testing and test-driven development• Expertise on Automation Tools/Unified Functional Testing (UFT)

Allstates Consulting Services is looking for a Project Manager - Structured Cabling in Santa Clara, CA to work with our partner. You will be responsible for leading all aspects of a large scale multiyear construction project. The position is onsite and has ultimate accountability for the successful delivery of the project, where success is defined as on schedule, on budget, within the approved scope, and with a high degree of quality. Position Details: Exempt Salaried position based upon experience $100K-$144K/yearLong-term contract with contract extension or hire Standard work hours: Mon-Fri 7:00am-4:00pm (flexible to occasional nights/weekends as needed) Location: Onsite - Santa Clara, CA 95054 Primary Roles & Responsibilities: Execute PMO standards, processes, and methodologies in a consistent manner for project planning and execution activities including the following fundamentals: initiating, planning, estimating, resourcing, scheduling, and budgeting. Prepare project plan and work breakdown structure in partnership with participating organizations and negotiates agreement with the customer, including identification of work and organizational breakdown structures, requirements creation and management, cost and material estimates, milestone payment schedule, and risk and communication management plans. Coordinate the setup of overall project governance (e.g. project org charts; roles & responsibilities, RACI charts, communication / stakeholder management) required for each assigned project. Manage the execution of project: Acts as primary customer contact for project. Clearly articulates design, installation, and operational concepts and solutions to customers and technicians. Conducts recurring customer reviews addressing scope, schedules, issues, actions, risks and customer expectations. Prepares for and present at appropriate project steering committee meetings Works with Procurement to ensure material is delivered on time. Manages installation. Transitions project to Day 2 support team after project completion. Manage project control fundamentals: monitoring and anticipating potential problems; identifying project conflicts; taking corrective action; resolving issues; managing scope, schedule, cost, profit and budget; project reporting; and quality review and assurance. Issue and communicate program status to leadership, steering committee, and other stakeholders as appropriate. Manage revenue forecasting and tracking for assigned projects. Will be responsible to lead and manage matrixed project team Onsite role (not remote) Education Requirements: Bachelor's Degree or equivalent relevant experience in project management, engineering, IT, or business is required Project Management Professional (PMP) PRINCE2® 2017 Practitioner preferred Registered Communications Distribution Designer, RCDD - BICSI preferred Experience Requirements: 5+ years of experience leading large scale multi-year construction projects Experience with manufacturing, office and data center construction projects Experience managing projects with a minimum of 25 personnel and yearly revenue in excess of $3 million Other Qualifications, Skills & Certifications: Procore experience preferred BIM experience preferred A solid understanding of project fundamentals, such as project financial management, client and subcontractor invoicing, status reporting, work plan management, scope management, issue & risk management, and communication management is essential. Strong client relationship and project team management skills. Ability to work in a team environment and motivate others. Ability to influence and manage change effectively. Ability to meet project timelines and budgets. Exceptional written communication skills. Proficiency in MS Project, PPM tools Benefits (employee contribution): Health insurance Health savings account Dental insurance Vision insurance Flexible spending accounts Life insurance Retirement plan All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Do you want to be part of the team that brings Artificial Intelligence (AI) emerging technology to the field? We are looking for hardworking Solution Architect Managers to join the NVIDIA AI Enterprise (NVAIE) SA Segment Team, which focuses on Machine Learning, Deep Learning, Accelerated Data Analytics, and Cloud. The vision of the NVAIE Segment team is to guide and enable the successful adoption at scale of DGX Cloud and NVIDIA AI Enterprise Software in production.The NVAIE Ecosystem team is dedicated to scaling and growing NVAIE adoption across the ecosystem by taking findings from strategic accounts and disseminating them to the masses. We work closely with the Industry teams to scale expertise within our organization and the NPN partner teams to increase knowledge of NVAIE beyond the NVIDIA sales organization. Our team will focus on identifying, building, and providing repeatable guides, demos, and qualifications to support pre-sales, early discussions, POCs, and production workloads. We are committed to enabling NVAIE in production at scale, in collaboration with GTM teams, and supporting the wider SAE organization, NPN Partners, and Enterprises.What you'll be doing:Work as a player-coach to drive NVIDIA technologies at strategic accounts and wider SAE organization, fostering activities that drive revenue with customers and partners. Grow your team by attracting and retaining top technical talent into the SAE organization.Build a team of solution architects to drive NVIDIA solutions, encouraging a "Start with a Demo" culture, developing repeatable Engagement Processes, identifying and nurturing champions, and sharing visibility of opportunities.Enable successful first-time integration and deployment of NVAIE Emerging SW products for strategic accounts.Scale knowledge, reach, and opportunities by building education content, repeatable guides, and educating vertical teams and Subject Matter Expert (SME) communities on NVAIE SW Products.Provide technical education and facilitate field product feedback to improve SW products.What we need to see:Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar or equivalent experience.Proven experience in technical leadership, strong understanding of NVIDIA technologies, and success in developing strategic accounts.Excellent communication and interpersonal skills, and ability to attract, develop, and retain top technical talent.4+ years of technical leadership or management experience and 8+ years of overall experience.Deep knowledge of NVAIE Emerging and Mature Software products, experience with integration and deployment of software products in enterprise environments, and experience working with SA teams in vertical industries and partner organizations.Ways to stand out from the crowd:Passion for knowledge sharing and proven experience with building educational content in the field of AI or Cloud.Strong communication skills and experience working in external facing roles. Comfortable working in a highly collaborative working environment.Ability to identify patterns in customer engagements and codify learnings that can be turned into educational content.Hands-on experience with NVIDIA AI Enterprise AI Software, Base Command Manager, NEMO, and NVIDIA Inference Microservices.The base salary range is 220,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.