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Senior ASIC Design Efficiency Engineer

NVIDIANVIDIA·Semiconductors

Compensation

$196,000 - $310,500/year

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Posted

9 days

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About the role

We are now looking for an ASIC Design Efficiency Engineer! NVIDIA is seeking extraordinary methodology engineers to design hardware accelerators and processors on our next-generation mobile, embedded and datacenter platforms. 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. Join our dynamic team today!

What you'll be doing:

  • Develop innovative HW, GPU and system designs to extend the state of the art performance and efficiency.

  • Understand the design and implementation, develop methodology and infrastructure to drive Performance, Power and Area (PPA) improvements.

  • Execute and deliver fully verified, high performance, area and power efficient RTL to achieve design targets.

  • Collaborate with architects, designers, verification and VLSI teams to craft the industries' top performing GPUs.

What we need to see:

  • Bachelors Degree in EE or CE or equivalent experience.

  • 12+ years of experience.

  • Proficiency in SystemVerilog or similar HDL.

  • You have a solid understanding of logic design and computer architecture.

  • Strong interpersonal skills are required along with the ability to work in a diverse product oriented team.

Ways to stand out from the crowd:

  • Pipeline processor or deep learning accelerator design/architecture experience

  • Performance verification, low power or physical (synthesis/VLSI) design experience

  • Scripting knowledge in Python/Perl

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're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 196,000 USD - 310,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 4, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Skills & Tags

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Aplyr's read

NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.

Synthesized from recent postings & public sources

What's promising

  • NVIDIA leads the GPU market, crucial for gaming and AI applications.
  • The company invests heavily in AI and deep learning, driving technological advancements.
  • NVIDIA's strong market position offers stability and growth opportunities for employees.

What to watch

  • High competition in the semiconductor industry can impact market share.
  • Rapid technological changes require constant adaptation and learning.
  • Intense workload and high expectations may affect work-life balance.

Why NVIDIA

  • NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
  • The company's AI research is at the forefront of deep learning innovation.
  • NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.

Aplyr’s read is generated by AI from public sources. Was it useful?

03

About NVIDIA

NVDA$223.96+2.27%

NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.

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