Before you apply
Listed location: US, CA, Santa Clara | US, TX, Austin | US, NC, Durham
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by NVIDIA; category and skill labels may be inferred. How our listings work · Report a problem
Job Description
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.
2+ 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 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.You will also be eligible for equity and benefits.
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 mentioned
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Frequently asked questions
Is the ASIC Design Efficiency Engineer position at NVIDIA remote?
The ASIC Design Efficiency Engineer role at NVIDIA does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the ASIC Design Efficiency Engineer role?
NVIDIA is hiring for a full-time ASIC Design Efficiency Engineer position.
Which skills are mentioned for the ASIC Design Efficiency Engineer job at NVIDIA?
Detected skill labels include Python, GPU. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the ASIC Design Efficiency Engineer position at NVIDIA?
You can apply for the ASIC Design Efficiency Engineer role directly through NVIDIA's official application link provided on this page.
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