Senior Synthesis Flow CAD Engineer

Details

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

Be part of a diverse team creating NVIDIA's chip design methodology. The team is responsible for the Front-End Design Implementation methodology for all of NVIDIA's semiconductor products. As part of the team you will design, develop and support sophisticated flows around EDA tools and internal CAD programs.

Responsibilities

• Architect highly automated and customizable design flows using modern software engineering methodologies.
• Build flows and methodologies incorporating logic/physical synthesis, design planning, and equivalence checking for industry-leading chip designs.
• Design, implement and test in-house CAD programs.
• Work with design teams and leading EDA vendors to evaluate and integrate the industry's most powerful design implementation and analysis tools.
• Provide support for ASIC tools and flows and assist chip design teams with advanced implementation tasks.

Requirements

• BS in Electrical or Computer Engineering (or equivalent experience); MS preferred. Minimum 3+ years of CAD experience.
• Familiarity with Verilog and ASIC design and experience with commercial EDA tools.
• Software engineering experience including software design, algorithms, data structures and testing.
• Strong proficiency in at least one of: Python, Perl, Tcl, C/C++.
• Knowledge or experience with logic synthesis, physical design, and formal equivalence checking.
• Proven track record developing flows and/or tools for chip design.

Ways to stand out

• Familiarity with Machine Learning / Deep Learning.
• Experience in other ASIC methodologies such as RTL lint, CDC, DFT, or STA.
• Experience with compute farm interaction: software deployment, performance optimization, containers, etc.

Compensation & Other Information

• Base salary ranges provided by level: Level 3: 136,000 USD - 212,750 USD; Level 4: 168,000 USD - 264,500 USD. Your base salary will be determined based on location, experience, and the pay of employees in similar positions.
• You will also be eligible for equity and benefits.
• Applications for this job will be accepted at least until September 28, 2025.

NVIDIA is widely considered to be the leader of AI computing and one of the technology world's most desirable employers. We are committed to fostering a diverse work environment and are proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.