1

Contractual Asic Rtl Design Engineer Jobs in Raleigh, NC

We are now looking for a Senior ASIC Power Engineer! NVIDIA is seeking extraordinary power ... efficient RTL to achieve design targets * You will be working with architects, designers ...

Lead Design Engineer

Cary, NC · On-site

$104K - $137K/yr

Work on RTL synthesis and floorplanning * Build clock trees and perform optimizations * Close ... Interface with Front End RTL design teams and Back End Verification teams Position Requirements ...

Senior Physical Design Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Responsible for RTL to GDS implementation in Physical Design domain. * Influence design tools ... Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND ...

MTS Digital Engineering

Morrisville, NC · On-site

$58K - $108K/yr

  • Medical

  • Dental

  • Retirement

Overview As a New College Graduate Design Engineer, the full-time position candidate will be responsible for specifying, architecting, implementing, and simulating RTL components. The individual will ...

MTS Digital Engineering

Morrisville, NC · Hybrid

$58K - $108K/yr

  • Medical

  • Dental

  • Retirement

As a New College Graduate Design Engineer, the full-time position candidate will be responsible for specifying, architecting, implementing, and simulating RTL components. The individual will work ...

MTS Digital Engineering

Morrisville, NC · On-site

$58K - $108K/yr

  • Medical

  • Dental

  • Retirement

Overview As a New College Graduate Design Engineer, the full-time position candidate will be responsible for specifying, architecting, implementing, and simulating RTL components. The individual will ...

MTS Digital Engineering

Morrisville, NC · Hybrid

$58K - $108K/yr

  • Medical

  • Dental

  • Retirement

Overview As a New College Graduate Design Engineer, the full-time position candidate will be responsible for specifying, architecting, implementing, and simulating RTL components. The individual will ...

NVIDIA is looking for best-in-class Senior ASIC Timing Design Engineers to join our outstanding ... Help in driving frontend and backend implementation from RTL to gds2, including synthesis ...

NVIDIA is seeking outstanding ASIC Verification Engineer to verify the world's leading GPUs. This ... As a senior member of our verification team, you'll understand the design & implementation with ...

Work closely with RTL, DFX, Clocks, and other teams to devise timing closure strategies, create ... Experience in physical design and optimization e.g., synthesis, placement, routing, logic ...

NVIDIA is seeking an outstanding Senior ASIC Verification Engineer to verify the design and implementation of the world's leading SoC's and GPU's. This position offers the opportunity to have a real ...

Showing results 21-40

Contractual Asic Rtl Design Engineer information

See Raleigh, NC salary details

$91.4K

$146K

$196.4K

How much do contractual asic rtl design engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for contractual asic rtl design engineer in Raleigh, NC is $146,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,800.00 and $175,000.00 per year, depending on experience, location, and employer.

What is the difference between Contractual Asic Rtl Design Engineer vs Digital IC Design Engineer?

AspectContractual Asic Rtl Design EngineerDigital IC Design Engineer
CredentialsBachelor's/Master's in Electrical Engineering or Computer EngineeringBachelor's/Master's in Electrical Engineering or Computer Engineering
Work EnvironmentContract-based, project-specific, often in semiconductor or tech companiesFull-time or contract, working on digital integrated circuit design
Industry UsageCommon in semiconductor, electronics, and tech firms for ASIC developmentUsed across semiconductor, consumer electronics, and communication industries

Both roles require similar educational backgrounds and work in related environments, focusing on digital circuit design. The main difference is that Contractual Asic Rtl Design Engineers typically work on specific ASIC projects on a contractual basis, while Digital IC Design Engineers may have broader responsibilities in digital chip development, often in full-time roles.

What are the most commonly searched types of Asic Rtl Design Engineer jobs in Raleigh, NC?

The most popular types of Asic Rtl Design Engineer jobs in Raleigh, NC are:

What are popular job titles related to Contractual Asic Rtl Design Engineer jobs in Raleigh, NC?

For Contractual Asic Rtl Design Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Contractual Asic Rtl Design Engineer jobs in Raleigh, NC look for?

The top searched job categories for Contractual Asic Rtl Design Engineer jobs in Raleigh, NC are:

Infographic showing various Contractual Asic Rtl Design Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $146,002 per year, or $70.2 per hour.

Senior ASIC Front End Infrastructure Engineer

Nvidia

Durham, NC

$104K - $142K/yr

Full-time

Re-posted 24 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

NVIDIA is seeking elite ASIC Infrastructure engineers to deliver the tooling and environment thatenables DV and RTL Design for the world's leading GPUs. This position offers the opportunity to have a real impact on a dynamic, technology-focused companyimpactingproduct lines ranging from consumer graphics to artificial intelligence, self-drivingcars,and supercomputers.

Our team of dedicated Infrastructure engineers continuously upgrades the NVIDIA Hardware design environment. We focus relentlessly on Infrastructure improvement so that HW designers can focus relentlessly on their jobs, with Infrastructure that "just works" at worldwide scale and peak performance. Do you likerootcausing a flow failure, even ifit'srare and hard to reproduce,and others have given up?Rapidly learning and deploying best in class internal and industry solutionsincluding AI harnesses in secure environments that you then use to build Skills and Agents for Infrastructure Automation? Instrumenting flows to measure performance and thenimprovingefficiency? Can you do that at scale, seamlessly transitioning teams from old flows?Then join us!

What you'll be doing:

  • Deploy AI toolsets at scale in secure configurations for use by all HW Design teams

  • Use ML/DL/AI techniques to automate Infrastructure work and improve Design teamproductivity

  • Improve the speed,flexibilityand extensibility of the GPU front end build flow

  • Keep the GPU Continuous Integration system at thecutting edgeofsource management methodologies

  • Guide compute farm,filer, and network topology requirementsat cloud scale

  • Deployand continuously improvecompute farm technologies such as containers, volume cloning, distributedstorageand distributed compute atcloudscale

  • Forecast HW Design compute resource and EDA needs, with reporting up to the CFO's office

  • Deploy tracking metrics to resolve operational issues, drive forecasting, and improve design productivity

  • Deploy information security methods for HW design

  • Remove inefficiency wherever you can find it!

What we need to see:

  • MastersDegree in Electrical Engineering, Computer Engineering, Computer Science or related or equivalent experience

  • 8+ years of relevant work experience

  • Programmingproficiencyin Python, Perl, or other Systems Programming language. OO design preferred.

  • Experience using AI tools for development and automation

  • Experience with Make based build systems in large, distributed computing environments

  • Continuous Integration pipeline and/or pre-submit verification flow experience, for example using Jenkins

  • You should display a tenacity to root cause and fix Infrastructure problems, especially intermittent,hard to isolateissues in a complex computing environment

  • Verification domain knowledge with complex ASICs or CPUs using techniques such as random stimulus, functionalcoverageand assertion-based verification methodologies

  • Strong problem-solving,debuggingand analytical skills

  • Good interpersonal skills and ability & desire to work as a great teammate

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the most sophisticated chips in the world? If so, 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 27, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993