Manufacturing Test Engineer
Summary
NVIDIA is seeking a Manufacturing Test Engineer to join the TSG Team, supporting software and hardware solutions for Embedded/Automotive product testing at board and system level, deployed into NVIDIA's contract manufacturing (CM) operations. The role involves test automation, GPU diagnostics, and AI-driven production automation.
About the role
NVIDIA's GPUs and Tegra SOCs are the world leaders in performance and efficiency, and we are continually innovating in creative and unique ways to improve our ability to deliver extraordinary solutions in a wide range of sectors. We are seeking a Manufacturing Test Engineers who are passionate about what they do and are committed to making a difference in the world through their inventions. As part of the TSG Team, we will co-work with different teams to spend efforts for software and Hardware solution support on Embedded/Automotive new feature test in board and system level which will be deployed into NVIDIA MFG CM.
What you will be doing:
Help design tools to automate product definitions, data collection, test case execution, and results analysis
Drive GPU diagnosis and analyze test issues at the embedded/automotive products level with hardware, software, and operations engineering teams.
Qualify equipment/fixture and tooling for NVIDIA MFG usage model
Data automation and tool generation. Co-work with CM to realize embedded/automotive product test automation. Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and deploy AI for NVIDIA production automation
Assist, develop, and provide feedbacks on embedded/automotive products debug tools to SW team members
Embedded/Automotive products test setup/issue(ICT and FCT) follow up if CM has any issues for Diag package and FTP document
What we need to see:
BS or MS background in EE,CS, Automatic Control, Systems Engineering with 5+ years of related experience
Experience with MCU/FPGA program/debug would be a plus
Hands-on experience with lab tools (oscilloscopes, multimeters)
Deep knowledge of low-level software drivers and kernel
Ability to debug at board level and usage of probing hardware
Self-motivated and able to work effectively across different functional teams. Excellent written and oral communication skills in English
Ways to stand out from the crowd:
Experience in x86 assembly and knowledge of the PC architecture and power management
Familiarity in VB or Shell, JAVA, Perl, Python script programming
Your experience in test plan, failure processing, and test program development
Experience with running system level diagnostic tests and deeper understanding of the purpose of those tests
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
What you'll do
Requirements
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Role overview
Tech stack analysis
Salary estimate
NVIDIA is a top-tier semiconductor company headquartered in Santa Clara, CA. A Manufacturing Test Engineer with 5+ years of experience in the embedded/automotive space typically earns between $130K–$175K base in the Bay Area, based on Levels.fyi and industry benchmarks for NVIDIA mid-level hardware/test engineering roles. NVIDIA is known for above-market compensation and substantial equity (RSUs), which would add significant total compensation on top of base.
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NVIDIA is the world's leading designer of GPUs and AI computing platforms. Its chips power everything from gaming and data centers to autonomous vehicles and scientific research. With a market cap exceeding $2 trillion, NVIDIA's CUDA platform and AI accelerators have become the backbone of the global AI revolution.