Senior ASIC Design Engineer

Posted 4 Days Ago
Be an Early Applicant
Santa Clara, CA
Mid level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior ASIC Design Engineer at NVIDIA, you will design and implement GPU memory subsystem modules, make architectural trade-offs, deliver verified designs, and collaborate with a team to create cutting-edge SOCs and GPUs.
Summary Generated by Built In

NVIDIA is seeking an outstanding Senior ASIC Design Engineer to design and implement the world’s leading SoC's and GPU's. This position offers the opportunity to have a 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 extraordinary 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 our design team, you will be responsible for the micro-architecture and design implementation of GPU memory subsystem modules.

  • Make architectural trade-offs based on features, performance requirements and system limitations, and deliver a fully verified design by working closely with verification engineers.

  • Deliver a synthesis/timing clean design while working with the physical design team to ensure a routable and physically implementable design.

  • Collaborate with architects, verification engineers, software engineers, and physical design engineers to accomplish your goals.

What we need to see:

  • Bachelors or Master’s Degree in Electrical Engineering or Computer Engineering, or equivalent experience.

  • At least 3 years of relevant work or research experience.

  • Highly proficient in logic design, Verilog and/or System-Verilog, with a good understanding of Computer Architecture and Digital Systems design.

  • A deep understanding of ASIC design flow including RTL design, verification, logic synthesis, timing analysis, ECO, and post silicon debug.

  • Strong interpersonal skills and an excellent teammate.

Ways to stand out from the crowd:

  • Prior design experience with arbiters, scheduling, synchronization, bus protocols, interconnect networks and/or switches.

  • Familiarity with architecture concepts and implementation of arbitration policies, interconnection routing policies/deadlock avoidance, virtual channels.

  • Interest or have prior experience in efficiency enhancement, such as, flow development and code generator.

  • Good debugging and analytical skills.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our GPU ASIC team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

The base salary range is 128,000 USD - 258,750 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

Verilog,System-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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