Senior ASIC Design Engineer

Posted 4 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior ASIC Design Engineer at NVIDIA, you'll design and implement GPU sub-system modules, making architectural trade-offs based on performance requirements. You'll own micro-architecture, implement RTL, deliver verified designs, and support post-silicon validation while collaborating with various teams.
Summary Generated by Built In

NVIDIA is seeking best-in-class ASIC Design Engineers to design and implement the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of exceptional people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.

What you’ll be doing:

  • As a key member of the Design team, you will be responsible for the implementation of GPU sub-system modules.

  • Make architectural trade-offs based on features, performance requirements and system limitations.

  • You are expected to own micro-architecture, implement RTL, and deliver a fully verified, synthesis/timing clean design.

  • Support post-silicon validation activities.

  • Work with architects, other designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks.

What we need to see:

  • Masters Degree (or equivalent experience) in Electrical Engineering or Computer Engineering.

  • 5+ years of proven experience working on ASIC design and development.

  • Experience in micro-architecture and RTL development of complex designs in Verilog.

  • Exposure to Digital systems and VLSI design, Computer Architecture, Computer Arithmetic, CMOS transistors and circuits is required.

  • Understanding of ASIC design flow including RTL design, verification, logic synthesis, prototyping, DFT, timing analysis, floor-planning, ECO, bring-up & lab debug.

  • Prior experience with arbiters, scheduling, synchronization & bus protocols, interconnect networks, and/or caches is desirable.

Ways to stand out from the crowd:

  • Knowledge of PCI-Express (Gen 3 and above) or CXL protocol is very helpful; your firsthand design experience on it is a big plus.

  • Python, Perl and C/C++ programming language experience desirable.

  • Good debugging and analytical skills.

  • Strong interpersonal skills and ability & desire to work as a great teammate.

NVIDIA is 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. Are you creative and autonomous? Do you love the challenge of crafting the fastest and most power efficient chips in their class? If so, we want to hear from you.

The base salary range is 128,000 USD - 201,250 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

C
C++
Perl
Python
Verilog
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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