Senior ASIC Design Efficiency Engineer
NVIDIAJob Title
Senior ASIC Design Efficiency Engineer
Role Summary
Design methodology engineer focused on improving performance, power and area (PPA) for NVIDIA GPUs and hardware accelerators across mobile, embedded and datacenter platforms.
Work with architects, RTL designers, verification and VLSI teams to develop methodology, infrastructure, and verified RTL that meet aggressive PPA targets.
Experience Level
Senior — 12+ years of relevant industry experience.
Responsibilities
The role combines RTL implementation, methodology development, and cross-discipline collaboration to deliver efficient silicon.
- Design HW, GPU and system blocks to advance performance and efficiency.
- Develop methodology and automation to drive PPA improvements.
- Implement, verify and deliver high-performance, area- and power-efficient RTL.
- Collaborate with architects, designers, verification, and VLSI teams to meet product targets.
Requirements
Must-have skills and experience.
- 12+ years of industry experience in ASIC/processor/GPU design.
- Proficiency in SystemVerilog or a similar HDL.
- Solid understanding of logic design and computer architecture.
- Strong interpersonal and cross-functional collaboration skills.
Nice-to-have:
- Pipeline processor or deep learning accelerator design/architecture experience.
- Experience in performance verification, low-power techniques, or physical (synthesis/VLSI) design.
- Scripting skills (Python, Perl) for automation and methodology work.
Education Requirements
Bachelor's degree in Electrical Engineering or Computer Engineering, or equivalent practical experience.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
