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:
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Develop innovative HW, GPU and system designs to extend the state of the art performance and efficiency.
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Understand the design and implementation, develop methodology and infrastructure to drive Performance, Power and Area (PPA) improvements.
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Execute and deliver fully verified, high performance, area and power efficient RTL to achieve design targets.
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Collaborate with architects, designers, verification and VLSI teams to craft the industries' top performing GPUs.
What we need to see:
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Pursuing Bachelors or Masters Degree in EE or CE (or equivalent experience).
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Proficiency in SystemVerilog or similar HDL.
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You have a solid understanding of logic design and computer architecture.
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Strong interpersonal skills are required along with the ability to work in a diverse product oriented team.
Ways to stand out from the crowd:
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Pipeline processor or deep learning accelerator design/architecture experience
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Low power or physical (synthesis/VLSI) design experience
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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!
The base salary range is 96,000 USD - 184,000 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
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.”
