Senior ASIC Timing Engineer

4 Weeks ago • 2-5 Years • $136,000 PA - $264,500 PA

Job Summary

Job Description

NVIDIA seeks a Senior ASIC Timing Engineer to drive timing analysis and closure for GPUs, CPUs, DPUs, and SoCs at various levels. Responsibilities include collaborating with cross-functional teams to develop timing closure strategies, generate constraints, and ensure timing and power convergence. The role also involves ECO implementation and process improvement. The ideal candidate possesses strong STA expertise, experience with deep sub-micron process nodes, and a background in GPU, CPU, or DPU timing convergence.
Must have:
  • Full-chip STA and timing convergence
  • Timing constraint generation and management
  • ECO implementation and analysis
  • Deep sub-micron process node experience
  • STA tools expertise
Good to have:
  • GPU/CPU/DPU timing convergence
  • DFT timing closure
  • AMS design/IP timing closure
  • Methodology/flow development and automation
Perks:
  • Equity
  • Benefits

Job 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.

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.

  • Work with PD, DFX, Clocks, and other teams in coming up with timing closure strategy, creating timing constraints, driving timing and power convergence, as well as ECO implementation

  • 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 Timing and STA

  • Hands-on experience in full-chip/sub-chip Static Timing Analysis (STA) and timing convergence, timing constraints generation and management.

  • Expertise in analysis and fixing of timing paths through ECOs including crosstalk and noise analysis.

  • Expertise and in-depth knowledge of industry standard STA and timing convergence tools.

  • Knowledge of deep sub-micron process nodes and hands-on experience in modeling and converging timing in these nodes.

Ways to stand out from the crowd:

  • Background in domain specific STA and timing convergence, such as GPUs, CPUs, DPUs/Network processors, or SOCs

  • Understanding of DFT logic and experience with DFT timing closure for various modes e.g., scan, BIST, etc.

  • Understanding and timing closure of digital logic/macros in AMS designs/IPs.

  • 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.

The base salary range is 136,000 USD - 264,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Similar Jobs

The Walt Disney Company - Sr Machine Learning Engineer

The Walt Disney Company

Santa Monica, California, United States (On-Site)
3 Months ago
NVIDIA - SWQA Test Development Engineer, DGX Cloud

NVIDIA

Shanghai, Shanghai, China (On-Site)
1 Month ago
ByteDance - Algorithm Engineer, Security Assurance - 2025 Start

ByteDance

Singapore (On-Site)
3 Months ago
Trendyol - Data Science Professionals - Trendyol GO

Trendyol

Ankara, Ankara, Türkiye (Hybrid)
3 Months ago
PlayStation Global - Senior Data Scientist

PlayStation Global

Carlsbad, California, United States (Remote)
1 Week ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Samsung Semiconductor - Intern, Machine Learning Research Scientist

Samsung Semiconductor

San Jose, California, United States (Hybrid)
1 Month ago
NVIDIA - Solutions Architect, Networking - Cloud Service Providers

NVIDIA

Redmond, Washington, United States (Hybrid)
4 Weeks ago
Google - Student Researcher, PhD, Winter/Summer 2025

Google

Montreal, Quebec, Canada (On-Site)
3 Months ago
Google - Software Engineer III, Machine Learning, Google Ads

Google

Los Angeles, California, United States (On-Site)
3 Months ago
NVIDIA - System Software Engineer - Base OS (RDSS Intern)

NVIDIA

Taipei City, Taiwan (On-Site)
1 Month ago
Trend Micro - Sr. Data Scientist (AI Lab)

Trend Micro

Taipei City, Taiwan (On-Site)
4 Months ago
NVIDIA - System Software Engineer

NVIDIA

Hyderabad, Telangana, India (On-Site)
1 Month ago
Axon - Axon AI - Senior Machine Learning Scientist I

Axon

Seattle, Washington, United States (Remote)
6 Days ago
NVIDIA - Global Alliance Manager, Developer Relations - Adobe

NVIDIA

Santa Clara, California, United States (On-Site)
3 Weeks ago

Get notifed when new similar jobs are uploaded

Jobs in Santa Clara, California, United States

ZeniMax Media - Senior Animator (Faces)

ZeniMax Media

Rockville, Maryland, United States (On-Site)
5 Months ago
Linden Lab - Senior Software Engineer, Mobile

Linden Lab

San Francisco, California, United States (On-Site)
4 Months ago
PlayStation Global - Senior UX Designer

PlayStation Global

Aliso Viejo, California, United States (Hybrid)
3 Weeks ago
Nintendo - Intern – Supply Chain Planning

Nintendo

North Bend, Washington, United States (On-Site)
3 Months ago
Rackspace Technology - Program Director

Rackspace Technology

United States (Remote)
2 Weeks ago
Onward Search - Sales Coordinator (b2b)

Onward Search

Washington, District Of Columbia, United States (On-Site)
3 Months ago
Info Stretch - Programmer Analyst 6

Info Stretch

Lansing, Michigan, United States (Hybrid)
2 Months ago
Next Level Business Services - SAP MDG Techno-Functional Consultant

Next Level Business Services

Cary, North Carolina, United States (On-Site)
4 Months ago
The Walt Disney Company - Sr Software Engineer

The Walt Disney Company

Lake Buena Vista, Florida, United States (On-Site)
3 Weeks ago
Interactive Brokers - Technical Operations Specialist (TOPS)

Interactive Brokers

Greenwich, Connecticut, United States (Hybrid)
4 Months ago

Get notifed when new similar jobs are uploaded

Similar Category Jobs

Looks like we're out of matches

Set up an alert and we'll send you similar jobs the moment they appear!

About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (On-Site)

Shenzhen, Guangdong Province, China (On-Site)

Bengaluru, Karnataka, India (On-Site)

Taipei City, Taiwan (On-Site)

Taipei City, Taiwan (On-Site)

Shanghai, Shanghai, China (On-Site)

Shanghai, Shanghai, China (On-Site)

Yokne'am Illit, North District, Israel (On-Site)

View All Jobs

Get notified when new jobs are added by NVIDIA

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug