Senior Physical Design Methodology Engineer, Innovus Flows
About the role
NVIDIA is seeking a Physical Design Engineer to join the Physical Design (PD) Methodology Team. This role is critical in driving innovation in PD across all NVIDIA’s products including Datacenter AI, HPC, Networking, Robotics, Autonomous Driving, Gaming, and more.
Responsibilities
Develop innovative physical design methodologies for GPU, CPU, Network Processors, and System-on-Chip (SoC), focusing on PPA (Power, Performance, Area) and runtime improvement of the physical design flow on advanced technology nodes.
Collaborate with internal and external partners to drive tool and methodology improvements to deliver best-in-class PPA solutions across all product lines.
Apply AI/ML approaches to CAD to enhance design performance and reduce turnaround time, while increasing designer efficiency and productivity.
Drive low power design with UPF, and utilize FSDB/SAIFs for power optimization.
Understand and apply EM and IR analysis and closure techniques.
Manage power distribution networks, Design for Yield and Manufacturability, and thermal management.
Utilize industry-standard EDA tools and proficient in programming and scripting languages like TCL, Perl, Python, and C++.
Requirements
Master’s degree in Electrical or Computer Engineering or equivalent experience.
Minimum 7 years of experience in Physical Design, with a focus on methodology and flow development.
Proven track record of PPA improvement on high-performance and low-power designs on advanced technology nodes.
Strong understanding of physical design optimization and routing methodologies, particularly in power and area-efficient setups and holds.
Experience with STA, extraction, timing, and RC correlation.
Expertise in low power design with UPF and use of FSDB/SAIFs for power optimization.
Solid understanding of EM and IR analysis and closure.
Knowledge of synthesis, hierarchical design, pinning, and budgeting flows.
Experience with power distribution networks, Design for Yield and Manufacturability, and thermal management.
Expertise and proficiency in industry-standard EDA tools, including Cadence Innovus, genus, tempus, quantus, and joules.
Qualifications
Experience applying machine learning models, large language models, and agent-based AI techniques to EDA and PD problems.
Proficiency in data analysis and machine learning libraries such as NumPy, SciPy, scikit-learn, PyTorch, etc.
Skills
Programming and scripting languages: TCL, Perl, Python, C++.
Benefits
NVIDIA offers a competitive compensation package, including base salary ranging from $168,000 to $264,500 for Level 4 and $196,000 to $310,500 for Level 5, along with equity and benefits.
Pay
Base salary range: $168,000 - $264,500 for Level 4, and $196,000 - $310,500 for Level 5.
Schedule
This role is full-time.
Application Instructions
Applications for this job will be accepted at least until July 14, 2026.