NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is looking for best-in-class Senior Physical Design Methodology Engineer, PPA Fusion Compiler to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take part in crafting our groundbreaking and innovative chips, enjoy working in a meaningful, growing and professional environment where you make a significant impact in a technology-focused company.
What you will be doing:
Developing Efficient physical design methodologies for implementation of graphics processors and SOCs.
Key responsibility includes developing unique and creative solutions to the state-of-the-art physical design problems to improve PPA
Knowledge and experience to formulate and develop with ML-based solutions
Participate in developing flow and tool methodologies for P&R, timing analysis and closure, convergence in IR/Signal-EM, power and noise analysis and back-end verification across multiple projects along with chip floorplan, power and clock distribution, chip assembly.
Data based analysis and algorithmic solutions for PPA check and improvement.
What we need to see:
MS in Electrical, Computer Engineering, computer science (or equivalent experience)
10+ years’ experience in Physical Design Engineering with ML based solution development experience
Proven implementation of ML-based solutions
Familiar with aspects of chip design including Floor planning, Clock and Power distribution, Place and Route, Integration and Verification.
Staring knowledge of Physical design with convergence in timing/EM/IR with best PPA
Strong background with hierarchical design approach, top-down design, budgeting, timing and physical convergence.
Familiar with various process related design issues including Design for Yield and Manufacturability, EM and IR closure and thermal management.
Solid understanding of standard industry PnR tools and analysis tools, Capable of extensive scripting to check and improve PPA
NVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.Skills Required
- MS in Electrical, Computer Engineering, computer science or equivalent
- 5+ years' experience in Physical Design Engineering
- Proven implementation of ML-based solutions
- Familiar with aspects of chip design including Floor planning, Clock and Power distribution, Place and Route, Integration and Verification
- Staring knowledge of Physical design with convergence in timing/EM/IR with best PPA
- Strong background with hierarchical design approach, top-down design, budgeting, timing and physical convergence
- Familiar with various process related design issues including Design for Yield and Manufacturability, EM and IR closure and thermal management
- Solid understanding of standard industry PnR tools and analysis tools, Capable of extensive scripting to check and improve PPA
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
