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Asic Jobs in Raleigh, NC (NOW HIRING)

Nvidia

Principal CPU Software Architect

Durham, NC · On-site

Your role will be cross disciplinary, collaborating with industry partners, customers, internal architects, software, ASIC design, verification, and platform teams. Our software architects excel at ...

Nvidia

Senior Security Architect - Hardware

Durham, NC · On-site

Experience with the ASIC design process and architecture of large SoCs or GPUs. Programming and debugging fundamentals across languages such as: C/C++, Verilog, ARM assembly and Python/Perl scripting ...

Nvidia

Principal CPU Software Architect

Durham, NC · On-site

Your role will be cross disciplinary, collaborating with industry partners, customers, internal architects, software, ASIC design, verification, and platform teams. Our software architects excel at ...

Nvidia

EDA Workflow Optimization Engineer

Durham, NC · Hybrid

$107K - $127K/yr

Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow environments. Hands-on experience with EDA tools. Experienced in UNIX Systems programming and automation using Python and/or Shell.

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Asic information

See Raleigh, NC salary details

$91.4K

$146K

$196.4K

How much do asic jobs pay per year?

As of Sep 3, 2026, the average yearly pay for asic 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 an ASIC engineer?

ASIC engineers are professionals who design, develop, and test Application-Specific Integrated Circuits (ASICs). These are specialized microchips created for a particular application or product, such as smartphones, networking equipment, or automotive systems. ASIC engineers work on the entire chip design process, including architecture, logic design, verification, and sometimes physical layout. Their expertise ensures that the chips are efficient, reliable, and tailored to meet specific performance requirements.

What are some common challenges faced by ASIC engineers during the chip design and verification process?

ASIC engineers often encounter challenges such as balancing power, performance, and area constraints while meeting tight project deadlines. Ensuring design correctness through thorough verification and debugging complex issues can be demanding, especially when integrating multiple IP blocks. Collaboration with cross-functional teams—including hardware, software, and test engineers—is essential to resolve challenges efficiently. Staying updated with evolving EDA tools and methodologies also plays a key role in overcoming these hurdles.

What are the key skills and qualifications needed to thrive as an ASIC engineer, and why are they important?

To thrive as an ASIC Engineer, you need a solid background in electrical or computer engineering, digital design, and experience with hardware description languages like Verilog or VHDL. Familiarity with EDA tools such as Cadence or Synopsys and relevant certifications (e.g., in ASIC design or verification) are highly valuable. Strong analytical thinking, attention to detail, and effective teamwork skills set top performers apart in this role. These competencies are crucial for developing reliable, high-performance chips that meet complex specifications and project goals.

What is the difference between Asic vs FPGA Engineer?

AspectAsicFPGA Engineer
Required CredentialsBachelor's or higher in Electrical Engineering, VLSI Design, or related fields; certifications like Certified FPGA Designer are commonSimilar educational background; often the same certifications apply, especially in digital design
Work EnvironmentDesigning and developing custom integrated circuits in a semiconductor lab or design houseDeveloping programmable logic solutions using FPGA boards in labs or on-site environments
Industry UsageUsed in high-volume, performance-critical applications like consumer electronics, automotive, and telecommunicationsCommon in prototyping, testing, and specialized applications requiring flexibility

In summary, Asic and FPGA engineers share similar educational backgrounds and certifications. Asic engineers focus on designing custom chips for high-volume applications, while FPGA engineers work on programmable logic devices for flexible, rapid prototyping and testing. Both roles are vital in the semiconductor and electronics industries, often overlapping in skills and tools used.

Is ASIC a good career?

ASIC (Application-Specific Integrated Circuit) design and engineering is a specialized field within electronics and semiconductor industries. It offers opportunities for high technical skill development, competitive salaries, and involvement in cutting-edge technology, but it often requires a strong background in electrical engineering, computer engineering, or related fields. The career can be rewarding for those interested in hardware design, verification, and manufacturing processes.

What are popular job titles related to Asic jobs in Raleigh, NC?

For Asic jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Asic jobs in Raleigh, NC look for?

The top searched job categories for Asic jobs in Raleigh, NC are:

Asic jobs near you
Infographic showing various Asic job openings in Raleigh, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Hybrid 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 9 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 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

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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

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