Santa Clara, California, United States · On-site
$192k–$305k/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping i…
Skills: People Management, Rack Integration, Field Application Engineering, Datacenter Systems, Linux System Administration
Santa Clara, California, United States · On-site
$58k–$93k/yr
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less in…
Skills: Robotic Repair, Troubleshooting, Root Cause Analysis, GMP, GDP
Folsom, California, United States · Hybrid
$89k–$121k/yr
Job Details: Job Description: The Role and Impact Are you ready to launch your career in an environment that pushes the boundaries of innovation? As a Circuit Design Engineering Graduate Intern, you will play a pivotal r…
Skills: Analog Circuit Design, Digital Circuit Design, EDA Tools, CMOS Technologies, Microarchitecture
Santa Clara, California, United States · On-site
$106k–$146k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Python, SQL, Excel, Tableau, Databricks
Santa Clara, California, United States · On-site
$192k–$260k/yr
Join the next science and engineering revolution at Amazon's Delivery Foundation Model team, where you'll work alongside world-class scientists and engineers to pioneer the next frontier of logistics through advanced AI …
Skills: Deep Learning, Foundation Models, Multimodal Architectures, Python, C++
Santa Clara, California, United States · On-site
$224k–$431k/yr
NVIDIA is seeking an engineering manager to lead engineering activities related to productizing Deep Learning models. Academic and commercial groups around the world are using GPUs to redefine Artificial Intelligence and…
Skills: Deep Learning, Large Language Models, Large Visual-Language Models, Inference Optimization, Engineering Management
Santa Clara, California, United States · On-site
$100k–$137k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Process Engineering, Data Analysis, Hardware Characterization, Root Cause Analysis, Film Property Measurement
Santa Clara, California, United States · On-site
$148k–$288k/yr
NVIDIA is looking for a Senior AI Compute Engineer to join its Infrastructure Specialists team. Academic, commercial and government groups around the world are using NVIDIA products to revolutionize deep learning and dat…
Skills: Linux System Administration, AI Compute, HPC Infrastructure, Python, Bash
Santa Clara, California, United States · On-site
$184k–$357k/yr
NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a senior vision language model engineer to design and build agentic data and training workflows for Autonomous Vehicles, Robotic…
Skills: Vision Language Models, Deep Learning, Transformer Architectures, Python, Multimodal Datasets
Santa Clara, California, United States · On-site
$153k–$230k/yr
Company:Qualcomm Atheros, Inc. Job Area:Engineering Group, Engineering Group > ASICS Engineering General Summary: Qualcomm-Atheros, a.k.a. QCA http://www.qualcomm.com/qca/ is a wholly owned subsidiary of Qualcomm and a l…
Skills: Static Timing Analysis, Synthesis, SDC Constraints, MMMC Timing Closure, Low Power Design
Santa Clara, California, United States · On-site
$142k–$213k/yr
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > CPU Engineering General Summary: Qualcomm Data Center team is developing High performance, Energy efficient server solution for data cen…
Skills: Synthesis, Place and Route, Signoff Timing Analysis, Power Analysis, Full Chip Floorplanning
Santa Clara, California, United States · On-site
$142k–$213k/yr
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > CPU Engineering General Summary: As a Physical Design Clock Engineer, you will work with microarchitecture, RTL design, CAD, block level…
Skills: Clock Generation, Clock Distribution, SPICE Simulation, CTS Implementation, Jitter Analysis
Santa Clara, California, United States · On-site
$106k–$146k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Python, SQL, Excel, Tableau, Data Analysis
Santa Clara, California, United States · On-site
$42/hr–$58/hr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Equipment Installation, Preventative Maintenance, Corrective Maintenance, Digital Analytics, Troubleshooting
Santa Clara, California, United States · On-site
$42/hr–$58/hr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Field Service, Diagnostics, Electrical Systems, Mechanical Systems, Hydraulics
Santa Clara, California, United States · On-site
$100k–$137k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Process Engineering, Data Analysis, Hardware Characterization, Root Cause Analysis, Film Property Measurement
Santa Clara, California, United States · On-site
$74k–$101k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Sourcing, Purchasing, Supply Chain Management, Inventory Monitoring, Supplier Negotiation
Santa Clara, California, United States · On-site
$124k–$171k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: CAD Software, Thermodynamics, Sheet Metal Design, Material Selection, Manufacturing Methods
Santa Clara, California, United States · On-site
$147k–$203k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: CAD Software, Thermodynamics, Sheet Metal Design, Material Selection, Manufacturing Methods
Santa Clara, California, United States · On-site
$152k–$288k/yr
Physical AI is redefining what robots can do, and embedded platforms are where that future becomes real! We are looking for a hands-on Solutions Architect with deep embedded systems expertise to serve as a technical anch…
Skills: Embedded Systems, NVIDIA Jetson, ROS 2, AI Model Deployment, GPU Profiling
Santa Clara, California, United States • On-site
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Lead a team of Field Application Engineers to manage technical execution for rack-scale AI system integration with ODM and manufacturing partners. Oversee validation, launch readiness, and production ramp while managing critical technical escalations across cross-functional teams.
Requires a degree in Engineering, Physics, or Computer Science with over 8 years of experience in datacenter systems and at least 4 years of people management. Must be proficient in Linux, computer architecture, and experienced in managing partner-facing engineering workflows.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is seeking a Field Application Engineering Manager to lead technical execution for rack-scale AI system integration through ODM and manufacturing partner ecosystems. This leader will manage and develop FAEs supporting partner integration, validation, launch readiness, escalation management, and production ramp. The role requires strong technical depth, people leadership, and the ability to coordinate across NVIDIA engineering, architecture, program, account, and partner-facing teams. You should be comfortable working in a dynamic environment, combining people leadership with hands-on technical judgment. Excellent communication skills, independent execution, and the ability to build repeatable operating rhythms across complex partner integration work are essential.
Lead a team of FAEs providing technical support for ODM and manufacturing partner integration, validation, launch readiness, and production ramp.
Work closely with account, program, architecture, engineering, operations, and partner-facing teams to align priorities, resolve issues, and support successful rack-scale system execution.
Own escalation rhythm for critical partner integration issues, provide clear risk visibility, and drive timely closure across cross-functional teams.
Be a technical expert on NVIDIA products and rack-scale AI infrastructure, leading technical support across design-in, NPI, rack integration, validation, production ramp, sustaining support, and lifecycle transitions.
Nurture the growth of direct reports, including supervision, training, and mentoring.
Build repeatable operating rhythms, debug practices, and readiness reviews across the team.
BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
8+ overall years of experience in rack integration, datacenter systems, technical customer support, manufacturing support, or partner-facing engineering, with prior technical leadership or people management experience
4+ years of experience leading a team
Comfortable in a hands-on lab environment
In-depth knowledge of computer systems architecture beneficial
Linux and Linux system administration skills
Familiarity with server, rack, GPU, networking, storage, firmware/BMC, power, thermal, cabling, and Linux-based debug workflows.
Experience with manufacturing or integration partner workflows.
Experience with issue triage, escalation management, and cross-functional risk communication.
Experience leading FAEs or technical teams through rack-scale system NPI, validation, or production ramp.
Background with ODM/manufacturing partner engagement.
Experience with factory readiness, rack integration, deployment issue triage, or large-scale infrastructure rollout.
Strong familiarity with NVIDIA GPU, networking, and rack-scale infrastructure.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
Based on 1838 listings with disclosed salaries, most engineering jobs in Santa Clara, CA pay between $120k–$277k per year. Individual offers vary with seniority, company size, and specialization.
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