ASIC Physical Design Engineer, Netlisting (New College Grad 2026)
NVIDIAJob Title
ASIC Physical Design Engineer, Netlisting (New College Grad 2026)
Role Summary
Entry-level physical design engineer focused on netlist-related tasks for high-frequency and low-power CPUs, GPUs, and SoCs. The role works on block-, cluster-, and full-chip physical-design activities with emphasis on equivalence checking, asynchronous/CDC checks, MTBF analysis, logic synthesis, and netlist quality.
Small, technical team supporting tapeout, ECO implementation, and flow development for production ASIC projects.
Experience Level
Entry-level / New college graduate (early-career). Suitable for recent graduates or candidates with equivalent practical experience.
Responsibilities
Primary responsibilities include ensuring netlist correctness and supporting physical-design closure.
- Perform equivalence checking and formal verification from RTL to tapeout.
- Execute asynchronous checks including clock-domain-crossing (CDC) analysis and MTBF analysis.
- Assess netlist quality and perform logic-synthesis validation at block or full-chip level.
- Support ECO generation and implementation during late-stage design iterations.
- Collaborate with architecture, RTL, and timing teams to support timing closure and tapeout readiness.
- Develop and maintain scripts and small tools to automate checks and improve flows.
Requirements
Technical skills and practical experience required for day-one contribution.
- Demonstrated knowledge of logic equivalence checking and formal verification flows from RTL to tapeout using industry tools.
- Hands-on experience with RTL/logic design principles relevant to timing closure and physical design.
- Experience with CDC checking and MTBF analysis using EDA or in-house tools.
- Background in logic synthesis at block or full-chip level and familiarity with synthesis flows.
- Proficiency with scripting or programming (Perl, TCL, Make, Python, or similar) to automate tasks and debug flows.
- Familiarity with industry EDA tools (Synopsys, Cadence, or equivalent) in related physical-design domains.
- Nice-to-have: strong debugging/problem-solving skills, experience improving workflows with automation or AI, and prior flow-development contributions.
Education Requirements
Master's or PhD 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.
