Senior ASIC Design Engineer

Posted 11 Hours Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior ASIC Design Engineer, you will implement high performance and power-efficient RTL designs, analyze architectural trade-offs, collaborate with various teams, and work on IPs like GPU's work schedulers and DMA engines.
Summary Generated by Built In

We are now looking for a Senior ASIC Design Engineer.

NVIDIA is seeking ASIC Design Engineers to implement the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a multifaceted, 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 outstanding 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 GPU Design team, you will implement, document and deliver high performance, area and power efficient RTL to achieve design targets and specifications.
  • Analyze architectural trade-offs based on features, performance requirements and system limitations.
  • Craft micro-architecture, implement in RTL, and deliver a fully verified, synthesis/timing clean design.
  • Collaborate and coordinate with architects, other designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks.
  • Work on a broad list of IPs such as GPU's work scheduler, time distribution system, interrupt controllers, and DMA engines.
  • Architect features to help silicon debug and support post-silicon validation activities.

What we need to see:

  • Bachelors Degree or equivalent experience in Electrical Engineering, Computer Engineering or Computer Science.
  • 8+ years of meaningful work experience.
  • Experience in micro-architecture and RTL development (Verilog), focused on arbiters, scheduling, synchronization & bus protocols, interconnect networks and/or caches.
  • Great understanding of ASIC design flow including RTL design, verification, logic synthesis and timing analysis.
  • Exposure to Digital systems and VLSI design, Computer Architecture, and Computer Arithmetic is required.
  • Strong interpersonal skills and an excellent teammate.

Ways to stand out from the crowd:

  • Strong C/C++, Python or Perl skills.
  • 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 hardworking people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you.

#LI-Hybrid

The base salary range is 164,000 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

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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