As one of the technology industry's most desirable employers, NVIDIA has redefined accelerated computing computer graphics and led the artificial intelligence revolution. NVIDIA's innovation is fueled by its great technology—and amazing people. We seek a Senior Silicon Product Lead to influence, innovate, and take our next-generation products to the market. As part of the Silicon Solutions Team, we architect and deliver groundbreaking system solutions that integrate all aspects of the system, from silicon design software design to operations and final deployment in multiple market segments that NVIDIA serves. This position offers a unique opportunity to collaborate with multiple organizations in the company and grow your career in a high-impact role. We need a passionate, hard-working, and creative individual to lead the products all the way from market analysis to delivering the features of the final product.
What you'll be doing:
-
Drive product performance and power targets, trade-off features/configurations, and provide innovative solutions to complex silicon and system-level problems.
-
Evaluate market segments and use cases; translate market requirements to engineering problem statements and metrics.
-
Innovate Performance, power, yield, and quality optimizations and features for the world’s fastest power-shipping products in the GPU and SoC market segments spanning gaming, automotive, datacenter, and DL/AI.
-
Analyze by first principles and influence requirements for multi-functional teams to drive product features to production. Incorporate productization feedback to improve the next generation.
-
Lead the team for feature requirements and schedule from architecture to silicon phase of projects.
-
Work alongside architects, marketing teams, chip and board designers, software/firmware engineers, HW/SW applications engineering, process/reliability authorities, ATE engineers, and silicon operations in a fast-paced, high-energy, collaborative work environment to bring industry-defining products to market.
What we need to see:
-
BS or MS in EE, CE, CS, Systems Engineering, or equivalent experience.
-
Proven experience of 10+ years in product performance and power evaluations.
-
Experience with system-level features, product binning methods, optimization techniques, methods, and data analysis and statistics tools.
-
Experience working on new product introduction market analysis. A background in gaming, automotive, and datacenter market segments is helpful.
-
Deep understanding of critical path analysis, power/performance analysis, process technologies, and transistor/device physics.
-
Familiarity with silicon bring-up and validation, frequency and power characterization, product analysis and optimization; hands-on post-silicon experience is a plus.
-
Excellent problem-solving, partnership, and interpersonal skills.
-
Experience working with offshore teams is required.
-
Exposure to CPU/GPU/SoC architecture and HW-SW co-design is a plus.
NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people working for us. If you're creative and autonomous, we want to hear from you!
The base salary range is 196,000 USD - 304,750 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.
Top Skills
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.”