Senior EDA Engineer, SOC Design Methodology
NVIDIAJob Title
Senior EDA Engineer, SOC Design Methodology
Role Summary
The team develops software, automation, and methodology to accelerate NVIDIA's SoC design and build flows. Responsibilities span tool development, flow automation, RTL/build infrastructure, and collaboration with EDA vendors.
The role focuses on removing bottlenecks in chip design throughput by building tools and methodologies that improve speed, reliability, and project execution.
Experience Level
Senior — the posting specifies 3+ years of EDA tool development experience in the ASIC/SoC design field.
Responsibilities
Primary responsibilities include developing and maintaining software and methodologies that automate SoC design and build flows, and partnering with engineers and vendors to improve workflows.
- Develop software to automate SoC design and build flows to increase engineer productivity and reliability.
- Design and implement new methodologies and tools aimed at accelerating ASIC/SoC design.
- Work with design and verification teams to support project execution and identify workflow gaps.
- Co-develop EDA tool capabilities and integrations with commercial vendors.
- Troubleshoot RTL/flow issues, perform root-cause analysis, and improve build infrastructure.
- Document solutions and provide guidance or training to users of the flows and tools.
Requirements
Must-have technical skills and experience are listed first, followed by desirable qualifications.
- Must: 3+ years of EDA tool development experience in the ASIC or SoC design field.
- Must: Hands-on experience with ASIC or SoC design and verification.
- Must: Proficiency in Verilog or SystemVerilog.
- Must: Strong programming skills in one or more: C++, Python, Perl, Tcl.
- Must: Solid understanding of computer algorithms and data structures.
- Nice-to-have: Experience with SoC integration (IP connectivity, clock/reset automation, top-level flow).
- Nice-to-have: Familiarity with Synopsys Fusion Compiler or similar next-generation design tools.
- Nice-to-have: Practical experience using agentic AI coding tools (e.g., Copilot, Claude Code) in development workflows.
Education Requirements
BS or MS in Electrical Engineering, Computer Engineering, or Computer Science, 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.
