ASIC Timing & Physical Design Engineer – New Grad 2026

NVIDIA Corporation; Santa Clara (CA); On-site; USD 116,000 - 219,000; Full time

Job summary

NVIDIA Corporation is seeking a motivated ASIC Timing Engineer to join our team in Santa Clara, CA. This role focuses on driving physical design and timing closure for NVIDIA GPUs, CPUs, DPUs, and SoCs, spanning block to full-chip levels.

The candidate will contribute to frontend/backend flows, including synthesis, floorplanning, timing constraints, and ECO implementations, while collaborating across multiple teams to push cutting-edge AI and accelerator technologies.

Qualifications

• Master's degree or higher in Electrical or Computer Engineering (or equivalent experience).
• Proficiency in Timing and Static Timing Analysis (STA).
• Hands-on experience in full-chip/sub-chip STA and timing convergence, timing constraints generation and management.
• Expertise with industry standard EDA and timing convergence tools.

Responsibilities

• Drive Physical Design and timing analysis and closure of NVIDIA's GPUs, CPUs, DPUs and SoCs at block level, cluster level, and/or full chip level.
• Support frontend and backend implementation including synthesis, floor-planning, timing constraints, timing and power convergence, and ECO implementation.
• Collaborate with cross-functional teams to advance projects and technology.

Skills

Timing analysis

Static Timing Analysis (STA)

Full-chip timing convergence

ECG constraints generation

EDA tools

Programming languages

AI/LLM knowledge

Education

Master's degree in Electrical or Computer Engineering

Tools

Industry standard EDA tools

Job description

NVIDIA Corporation is seeking a motivated ASIC Timing Engineer to join our team in Santa Clara, CA. This role focuses on driving physical design and timing closure for NVIDIA GPUs, CPUs, DPUs, and SoCs, spanning block to full-chip levels.

The candidate will contribute to frontend/backend flows, including synthesis, floorplanning, timing constraints, and ECO implementations, while collaborating across multiple teams to push cutting-edge AI and accelerator technologies.