Senior System ASIC Engineer - Speed and Reliability

Reposted 6 Days Ago
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Santa Clara, CA
In-Office
136K-265K
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Responsible for optimizing NVIDIA's chips by developing characterization plans, driving feature testing methodologies, and collaborating across teams to solve complex silicon problems.
Summary Generated by Built In

Join NVIDIA, a trailblazer at the forefront of graphics and artificial intelligence performance, efficiency, and innovation. From our roots as a groundbreaking graphic company, we have evolved into a global leader in artificial intelligence, continuously pushing the boundaries to tackle complex challenges across diverse industries.

Silicon Solutions Group (SSG) is a multifaceted, multi-functional team at NVIDIA. We sit at the crossroads of design, architecture, marketing, and productization. Our involvement begins at the arch stage and extends to defining final products. We architect and deliver innovative solutions for various markets like Gaming, Data Centers, Servers, Automotive, and Embedded. We are fast-paced and multifaceted, share a sense of humor, and collaborate extensively to push the boundaries of what is possible. We do all of this with an eye on making ground-breaking impacts in our markets. If this sounds like something you want to do, read on. As part of the Silicon Solutions team at NVIDIA, you will be responsible for crafting new features and methodologies to optimize NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive solutions.

What you will be doing:

  • Understand chip HW features and intersection with speed characteristics. Develop state-of-art characterization/validation strategies for these features.

  • Understand new silicon features and create internal characterization plans to validate benefits, functionality, etc.

  • Driving new feature testing methodology initiatives and implementation plan across multiple business units, translate hardware features design requirements to silicon speed characterization needs and test requirements for Productization.

  • Work alongside system architects, chip and board designers, software/firmware engineers, HW/SW applications engineering, process/reliability specialists, DFx engineers, ATE engineers, product managers, sales, and operations, in a multifaceted, high-energy work environment to bring industry-defining products to market.

  • Designing tools and scripts to automate characterization, data collection, test case execution, and results analysis.

  • Prototype and fine-tune the testing methodology to suit the needs of the next generation products. Build pre and post-silicon bring up flow and methodologies for productization quality and efficiency when characterizing silicon.

  • Build tools/ automation scripts required for smooth execution of test plans for productization. Continuously drive efficiency improvements to ensure timely execution of projects.

  • Architect essential testability features for next-generation product that are vital for performance, power optimization and management techniques all the way from feature definition to production; working with multi-functional teams.

  • Correlate silicon behavior across different platforms and simulation expectations, and provide design feedback.

  • Find creative solutions to complex silicon and system level problems and be on the frontline to lead show-stopper bugs, in order to enable product shipment.

  • Collaborating with the best minds in NVIDIA across various teams (System Architecture, PDE, Application Engineering, Product Manager, Sales, and Operations) in a dynamic, creative work environment to bring industry-defining products to market.

What we need to see:

  • MS in EE, CE, Systems Engineering (or equivalent experience)

  • 4+ years of experience in a related hardware engineering position.

  • Previous experience with silicon bringup, frequency and power characterization, PPA in Pre-Silicon or Post-Silicon phases, tester-to-system correlation, JMP or equivalent data analysis tools and lab tools (oscilloscopes, multimeters, DAQ).

  • Scripting experience with Perl/ Python. Exposure to Windows, Linux, and Android OS environments.

Ways to stand out from the crowd:

  • Some familiarity with statistical methods and tools for data analysis

  • A "go-getter, can get it done" attitude and independent 'out-of-box' thinking.

Our team is at the forefront of innovation in silicon solutions, contributing to the development of groundbreaking technologies. We offer a dynamic work environment where your contributions will directly impact the company's success. Join us to advance your career in a role where you can truly make a difference. With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 26, 2025.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

Android
Daq
Jmp
Linux
Multimeters
Oscilloscopes
Perl
Python
Windows
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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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