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 an experienced and highly motivated Senior Manager of Product Development Engineering to lead our Photonics Product Development team within the Silicon Photonics Engineering organization. In this leadership role, you will guide a team responsible for bringing next-generation silicon photonics technologies from composition validation through manufacturing ramp and high-volume production. This is a groundbreaking opportunity to work on innovative optical interconnect solutions used in AI, networking, and high-performance computing systems. Join us to help invent the future of computing with your expertise and passion for innovation!
What you'll be doing:
Lead and guide a group of product development engineers responsible for validation, characterization, and production ramp of silicon photonics devices and optical transceiver products.
Drive product development strategy from early silicon validation through qualification and high-volume manufacturing.
Develop and implement validation methodologies and test strategies for new photonic and mixed-signal silicon builds.
Partner closely with Mixed-Signal Build, Test Engineering, Reliability, Packaging and Manufacturing teams to ensure seamless transition from design to production.
Coordinate optical, electro-optical, and mixed-signal characterization of new photonic integrated circuit (PIC) designs.
What we need to see:
Master’s or Ph.D. in Electrical Engineering, Physics, Photonics, Computer Engineering, or a related field, or equivalent experience.
More than 10 years of overall experience in semiconductor or photonics product development, validation, or manufacturing engineering. 3+ years of technical leadership or management experience leading engineering teams.
Solid grasp of silicon photonics devices, optical components, and analog/mixed-signal circuit behavior.
Experience with high-speed optical testing, RF characterization, and electro-optical measurements. Proven experience in yield analysis, product characterization, and silicon debug.
Experience using statistical data analysis tools (e.g., JMP) for engineering insights and yield improvement.
Proficiency in automation and scripting for validation, data analysis, and test infrastructure.
Demonstrated ability to drive cross-functional problem solving under aggressive schedules.
Strong leadership, communication, and organizational skills.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD for Level 4, and 240,000 USD - 379,500 USD for Level 4.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 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.Skills Required
- Master's or Ph.D. in Electrical Engineering, Physics, Photonics, Computer Engineering or related field, or equivalent experience
- More than 10 years of experience in semiconductor or photonics product development, validation, or manufacturing
- 3+ years of technical leadership or management experience
- Solid grasp of silicon photonics devices, optical components, and analog/mixed-signal circuit behavior
- Experience with high-speed optical testing, RF characterization, and electro-optical measurements
- Experience using statistical data analysis tools (e.g., JMP) for engineering insights
- Proficiency in automation and scripting for validation and data analysis
- Strong leadership, communication, and organizational skills
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.”
