ASIC Physical Design Engineer, Netlisting (New College Grad 2026)
NVIDIAJob Title
ASIC Physical Design Engineer, Netlisting (New College Grad 2026)
Role Summary
Join an ASIC physical design team responsible for netlist-related validation and optimization for high-frequency, low-power CPUs, GPUs and SoCs. The role focuses on netlist quality, equivalence checking, CDC/MTBF analysis, logic synthesis, ECO implementation, and related flow development.
Experience Level
Entry-level (new college graduate). Years of prior industry experience not required; the role targets new graduates.
Responsibilities
Primary responsibilities include netlist-focused physical design activities at block, cluster, or full-chip level and supporting ECO implementation.
- Drive netlist-related physical design: equivalence checking, asynchronous checks (clock-domain crossing), MTBF analysis, logic synthesis, and netlist quality checks.
- Generate and implement ECOs to address timing, functionality, or integration issues.
- Collaborate with RTL, verification, and back-end teams to resolve netlist and timing issues through root-cause analysis.
- Develop and maintain flows, scripts, and automation to improve netlist verification and implementation efficiency.
Requirements
Must-have technical skills and experience:
- Practical experience with logic equivalence checking / formal verification from RTL to tapeout using industry-standard tools.
- Understanding of hardware architecture and hands-on RTL/logic design knowledge relevant to timing closure.
- Experience with clock-domain-crossing checking and MTBF analysis using EDA or in-house tools.
- Background in logic synthesis at block or full-chip level, including project execution or flow development.
- Familiarity with industry-standard EDA tools related to synthesis, equivalence checking, and physical verification.
- Experience with programming/scripting languages such as Perl, TCL, Make, Python, or similar for automation.
Nice-to-have:
- Proven debugging and problem-solving skills for complex netlist and timing issues.
- Experience improving workflows and productivity through AI or automation techniques.
Education Requirements
Master's or PhD in Electrical Engineering or Computer Engineering is specified; equivalent practical experience is acceptable. No specific certifications are required.
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.
