NVIDIA Logo

NVIDIA

Senior ASIC Physical Design and Timing Engineer

Reposted 3 Hours Ago
Be an Early Applicant
In-Office
4 Locations
136K-265K Annually
Senior level
In-Office
4 Locations
136K-265K Annually
Senior level
Drive timing analysis and closure of GPUs, CPUs, and SoCs. Improve timing convergence flows and interact with cross-functional teams.
The summary above was generated by AI

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.

We are now looking for a motivated ASIC Timing Engineer to join our dynamic and growing team. If you want to challenge yourself and be a part of something great, join us today! 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 tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

What you'll be doing:

  • Drive timing analysis and closure of Nvidia’s GPUs, CPUs, DPUs and SoCs at block level, cluster level, and/or full chip level.

  • Help in driving frontend and backend implementation including synthesis, equivalence checking, floor-planning, timing constraints, timing and power convergence, and ECO implementation.

  • Work in a cross-functional environment interacting with multiple teams.

  • Apply knowledge and experience to improve timing convergence flows working with the methodology teams.

What we need to see:

  • BS (or equivalent experience) in Electrical or Computer Engineering with 5+ years experience or MS (or equivalent experience) with 2+ 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 equivalence checking/FV.

  • Expertise and in-depth knowledge of industry standard EDA tools.

  • Proficiency in programming and scripting languages, such as, Perl, Tcl, Python, etc.

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 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

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.

Top Skills

Industry Standard Eda Tools
Perl
Python
Tcl

Similar Jobs

An Hour Ago
In-Office
Austin, TX, USA
160K-240K Annually
Expert/Leader
160K-240K Annually
Expert/Leader
Artificial Intelligence • Cloud • Consumer Web • eCommerce • Information Technology • Software
The Director of Total Rewards leads global compensation and benefits strategy, ensuring alignment with business goals and market competitiveness while overseeing a team and innovative programs that enhance employee experience.
Top Skills: ExcelMarket Pricing ToolsWorkday Advanced Compensation
An Hour Ago
Hybrid
Plano, TX, USA
106K-197K Annually
Senior level
106K-197K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
As a Senior Software Engineer, you'll develop software products, solve complex problems, collaborate with teams, and lead technical innovations in an agile environment.
Top Skills: AWSJavaRestful ServicesSpring Boot
An Hour Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
130K-175K Annually
Senior level
130K-175K Annually
Senior level
Artificial Intelligence • Insurance • Machine Learning • Software • Analytics
The Senior Technical Product Owner will lead the planning and execution of health analytics products, manage cross-functional teams, and ensure alignment with product strategy. Responsibilities include translating strategy into actionable plans, managing technical requirements, overseeing data integration, and tracking KPIs for delivery and reliability.
Top Skills: AWSConfluenceDatabricksGitJIRASnowflake

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account