Senior Physical Design and Timing Engineer
Nvidia
Nvidia is also hiring for this role in US, CA, Santa Clara, US, TX, Austin, US, OR, Hillsboro, US, NC, Durham, US, MA, Westford.
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This role on the market
437 open physical roles across 66 companies are on ApplySarthi right now, most of them in Bengaluru (24), Pune (5), Hyderabad (5).
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- Applied Scientist, Superconducting Digital and Cryogenic Control Electronics,Center for Quantum Computing, Physical Design and Simulation, Enabling TechnologiesAmazon
- Principal/Senior Principal Engineer, Data Center Physical Infrastructure, Data Center EngineeringAmazon Web Services
- Principal Program Manager – Central Operations, Physical Security - Nashville TNOracle
- AI Engineer – Physical AI for Surgical Robotics (Cambridge, MA)Philips
What physical roles keep asking for: Python (37%), Perl (19%) — counted across their open postings here.
Nvidia has 3,855 open roles listed here.
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- Principal Architect, AI Inference Networking - NIXL and Dynamo
- Global Commodity Manager, Passive Electrical Commodity
- Senior AI Engineer – Palantir Foundry and AIP Forward Deployed Engineer
- Software Engineering Intern, NCCL - 2027
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for physical roles keep coming back to Python, Perl. Practise those questions before you sit with Nvidia.
Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with Python? Tell me one thing you learned the hard way.
- Walk me through a system you built. How was it designed, and what would you change now?
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
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Practise the Senior Physical Design and Timing Engineer at Nvidia interview free →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 ASIC Timing Design Engineers 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 a part in crafting our groundbreaking and innovating chips, enjoy working in a meaningful, growing and professional environment where you make a significant impact in a technology-focused company. What you'll be doing: You will drive physical design and timing of high-frequency and low-power DPUs and SoCs at block level, chiplet level, and/or full chip level. Analyze and optimize design constraints and synthesis parameters to achieve performance, power, and area targets. Help in driving frontend and backend implementation from RTL to gds2, including synthesis, equivalence checking, floor-planning, timing constraints, timing and power convergence, and ECO implementation. What we need to see: Great teammate BS (or equivalent experience) in Electrical or Computer Engineering with 8 years experience or MS with 4+ years experience in Synthesis and Timing. Hands-on experience in full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation and management, and timing convergence. Expertise in analysis and fixing of timing paths through ECOs including crosstalk and noise analysis. Expertise in physical design and optimization e.g., placement, routing, cell sizing, buffering, logic restructuring, etc. to improve timing and power, along with a background in implementing them through ECOs. Background in logic synthesis and/or logical equivalence checking (LEC). Expertise and in-depth knowledge of industry standard EDA tools (Synopsys PrimeTime or Cadence Tempus). Proficiency in Python, Tcl and Make for automation and scripting tasks. Ways to stand out from the crowd: Background in domain specific STA and timing convergence, such as CPUs, GPUs or Network processor implementation or SOCs. Understanding of DFT logic and experience with DFT timing closure for various modes e.g., scan shift and capture, transition faults, BIST, etc. Knowledge of deep sub-micron technology and associated process variations effects, including modeling and converging considering process variations. Experience in methodology and/or flow development as well as automation. 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 . Applications for this job will be accepted at least until October 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
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Listed on workday · posted 2026-09-05. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.