NVIDIA is searching for a highly motivated, creative engineer with experience in Product Development Engineering to join the Photonics PDE Manufacturing Engineering team. As someone who is hardworking and passionate about their work, you will be part of the team to drive yield enhancement and test time reduction efforts by collaboration with cross functional teams. The candidate should demonstrate the ability to drive complex problem resolution through analytical and complex problem-solving techniques.
What you'll be doing:
Develop validation test methods for new photonic designs from the Mixed-Signal Design group
Interact with multi-functional groups to support chip validation and ramp to production
Characterize fundamental optical, electro-optical, and RF performance of new chip designs
Validate, debug, and characterize new analog, photonic, electrical-optical, and mixed-signal designs
Provide feedback to designers on silicon performance, design quality, and margins
Verify electrical-optical compliance to industry standards
Train new engineers in validation practices
What we need to see:
Master of Science in Electrical Engineering, Physics, Computer Engineering, or equivalent experience.
Deep understanding of fundamental optical components and analog circuits
RF testing experience at die or module level
8+ years of experience measuring, analyzing, and debugging complex mixed-signal designs
Experience with JMP
Ability to code scripts for validation, debug, data analysis, and automation
Extremely responsive to time sensitive show-stopping issues
Consistent, persistent, and efficient
Ability to work in a team environment
Detailed knowledge of optical lab equipment
Ways to stand out from the crowd:
Optical transceiver performance testing at high data rates
Experience with control loops
Working knowledge of wafer probe test systems and wafer handling
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.
#LI-Hybrid
Skills Required
- Master of Science in Electrical Engineering, Physics, Computer Engineering, or equivalent experience
- Deep understanding of fundamental optical components and analog circuits
- RF testing experience at die or module level
- 8+ years of experience measuring, analyzing, and debugging complex mixed-signal designs
- Experience with JMP
- Ability to code scripts for validation, debug, data analysis, and automation
- Detailed knowledge of optical lab equipment
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — 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, NVIDIA is increasingly known as “the AI computing company.”
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