ASIC Design Engineer, System-ASIC

Posted 2 Days Ago
Be an Early Applicant
Santa Clara, CA
Junior
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
Design and implement world-class GPU and SoC systems. Responsibilities include micro-architecture definition, RTL design and synthesis, silicon bring-up, and integration at the SoC level in a collaborative, technology-focused company.
Summary Generated by Built In

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today.

NVIDIA is seeking best-in-class ASIC Design Engineers to design and implement the world's leading GPU and SoC's. This position offers the opportunity to have a 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 hardworking and forward-thinking 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! In this position you will get the chance to work on architecture, design and synthesis for System-level modules for complex GPU and Tegra chips.

What you’ll be doing:

  • Micro-architecture definition for System-level modules (Floorsweep, In-silicon measurement, Reset, Sysctrl)

  • RTL design, synthesis, timing

  • Silicon bring-up

  • SOC level integration

What we need to see:

  • BS / MS in Microelectronics/ Electronic Engineering/ Computer Science and related (or equivalent experience).

  • 2+ years of ASIC design experience or SOC integration design / flow experience

  • Hold a basic sense of verification methodology

  • Good understanding of ASIC design flow including RTL design, verification, logic synthesis and timing analysis

  • Excellent analytical and problem-solving skills and an excellent attention to detail.

  • Good team work spirit, easy to cooperate with team members

Ways to stand out from the crowd:

  • Familiarity with ARM CPU and SoC system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.)

  • Strong hands on competence in programming (C/C++) and scripting (Perl/Python). Exposure to System Verilog, SystemC/TLM is a strong plus.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and dedicated people in the world working for us. Are you creative and autonomous? Do you love the challenge of constant innovation and creating the highest performance products in the industry? If so, we want to hear from you.

#LI-Hybrid

The base salary range is 108,000 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
System Verilog
Systemc
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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