ASIC Design Efficiency Engineer

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!

• 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 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 industry’s top performing GPUs.

• Bachelors Degree in EE or CE or equivalent experience.
• 2+ years of experience.
• Proficiency in System Verilog 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.

• Pipeline processor or deep learning accelerator design/architecture experience.
• Performance verification, low power or physical (synthesis/VLSI) design experience.
• Scripting knowledge in Python/Perl.

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.

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.