ZipRecruiter

Log In

1

Computer Chip Engineer Jobs (NOW HIRING)

Nvidia

EDA Workflow Optimization Engineer

Westford, MA · Hybrid

$115K - $136K/yr

Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on. * Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow ...

Nova Ltd.

Application Engineer

Rio Rancho, NM · On-site

... computer chip worldwide. Nova operates at the atomic level, delivering unique insights through ... As Applications Engineer at Nova you will play a key role in implementing and optimizing advanced ...

Nvidia

EDA Workflow Optimization Engineer

Austin, TX · Hybrid

$110K - $130K/yr

Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on. * Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow ...

Nvidia

EDA Workflow Optimization Engineer

Santa Clara, CA · Hybrid

$130K - $154K/yr

Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on. * Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow ...

Nvidia

EDA Workflow Optimization Engineer

Durham, NC · Hybrid

$107K - $127K/yr

Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on. Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow ...

Nvidia

EDA Workflow Optimization Engineer

Santa Clara, CA · Hybrid

$130K - $154K/yr

Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on. Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow ...

Nvidia

EDA Workflow Optimization Engineer

Westford, MA · Hybrid

$115K - $136K/yr

Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on. Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow ...

Nvidia

EDA Workflow Optimization Engineer

Durham, NC · Hybrid

$107K - $127K/yr

Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on. * Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow ...

Nvidia

EDA Workflow Optimization Engineer

Austin, TX · Hybrid

$110K - $130K/yr

Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on. Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow ...

Nova Ltd.

Application Engineer

Rio Rancho, NM · On-site

... computer chip worldwide. Nova operates at the atomic level, delivering unique insights through ... As Applications Engineer at Nova you will play a key role in implementing and optimizing advanced ...

Ricursive

Chip Design Engineer

Palo Alto, CA · On-site

We are reinventing chip development and closing the loop between AI and the hardware that fuels it ... MINIMUM QUALIFICATIONS * BS in Electrical Engineering, Computer Engineering, Computer Science, or a ...

New

LeoForce

Chip Simulation Engineer

San Francisco, CA · On-site

$180 - $250/hr

Chip Simulation Engineer Experience: Senior Level Salary: $180,000 - $250,000 per year We're ... You'll work at the intersection of computer architecture, systems software, and AI infrastructure ...

Agentrys

Qualifications We are looking for someone who has: * BS/MS degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field * 3+ years of chip design experience in at ...

TenX Semi

Chip Design Engineer

San Francisco, CA · On-site

MS in Electrical Engineering or Computer Science. Why Join Us You will be at the forefront of AI-assisted chip design--a fundamental transformation in how chips are built. Your designs will go into ...

Ricursive

Software Engineer, Chip Design

Palo Alto, CA · On-site

We are reinventing chip development and closing the loop between AI and the hardware that fuels it ... Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field.

New

next page

Showing results 1-20

All JobsTechnology JobsDesktop Support JobsDesktop Engineer JobsComputer Chip Engineer Jobs

Computer Chip Engineer information

See salary details

$48.5K

$121.5K

$137.5K

How much do computer chip engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for computer chip engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a computer chip engineer?

A Computer Chip Engineer designs, develops, and tests microchips used in electronic devices. They work with semiconductor materials, circuit design, and fabrication processes to create efficient and high-performance chips. Their role involves collaboration with hardware and software engineers to optimize chip functionality. They may also troubleshoot and improve existing chip designs to enhance performance and energy efficiency.

What are the key skills and qualifications needed to thrive as a computer chip engineer?

To thrive as a Computer Chip Engineer, you need a deep understanding of electrical engineering, semiconductor physics, and integrated circuit (IC) design, typically supported by a bachelor's or master’s degree in electrical engineering or a related field. Familiarity with hardware description languages (such as VHDL or Verilog), Electronic Design Automation (EDA) tools, and industry certifications like IPC or IEEE standards is highly valuable. Strong analytical thinking, attention to detail, problem-solving abilities, and effective teamwork are essential soft skills. These competencies are vital for creating reliable, high-performance microchips while meeting strict timelines and collaborating across multidisciplinary teams.

What are some common challenges faced by computer chip engineers, and how can new hires prepare for them?

Computer Chip Engineers often deal with complex problems like optimizing designs for power, speed, and area while ensuring manufacturability and reliability. New hires may find it challenging to keep up with rapid technological advancements and manage tight project deadlines. Developing strong foundations in semiconductor theory, staying current with the latest EDA tools, and practicing collaborative communication will help address these challenges. Being proactive in seeking mentorship and participating in cross-functional meetings can also accelerate your adaptation and success within engineering teams.

How much does a computer chip engineer make?

A computer chip engineer's salary varies based on experience, education, and location, but the median annual wage in the industry is typically around $120,000. Entry-level positions may start lower, while experienced engineers with specialized skills or advanced certifications can earn significantly more. Many roles require knowledge of semiconductor design tools and programming languages such as VHDL or Verilog.

What does a computer chip engineer do?

A computer chip engineer designs, develops, and tests integrated circuits and microprocessors used in electronic devices. They work with electronic design automation tools, analyze circuit performance, and ensure chips meet specifications and quality standards. This role often requires knowledge of semiconductor physics, circuit design, and programming skills.
More about Computer Chip Engineer jobs

What are the most commonly searched types of Computer Chip Engineer jobs?

The most popular types of Computer Chip Engineer jobs are:

What states have the most Computer Chip Engineer jobs?

States with the most job openings for Computer Chip Engineer jobs include:

What are popular job titles related to Computer Chip Engineer jobs?

For Computer Chip Engineer jobs, the most frequently searched job titles are:

Computer Chip Engineer jobs near you
Infographic showing various Computer Chip Engineer job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

EDA Workflow Optimization Engineer

Westford, MA • Hybrid

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$115K - $136K/yr

Full-time

Re-posted 20 days ago

Key responsibilities

  • Understand and optimize workflows covering the full chip design process.

  • Build metrics to measure the performance of flows and services.

  • Work with the team to develop, test, and deploy infrastructure and tools to improve chip development processes.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

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 reinvented itself over two decades, inventing the GPU in 1999 to reshape PC gaming and modern computer graphics. As an engineer in our EDA Workflow Optimization team, you will partner closely with our engineering teams worldwide. You will understand workflows covering the full chip design process from inception through study, architecture, design, verification, emulation, layout, packaging, power-on and production. You will then guide teams to improve, and sometimes re-invent those flows. You will enable our engineers to have the best tools on the planet to make the most innovative chips in the world. You will perform investigations to understand flaws and opportunities, construct metrics to continuously measure performance of our flows and services, and other infrastructure. You will work with your team of EDA and software experts to build new infrastructure in an agile, production software environment. You will continuously innovate and enhance scalable, reliable, high performance systems and tools to enable the next generation of chips!

What you'll be doing:

  • Work in a diverse team performing fast paced investigations to empower our engineers to develop at the speed of light.

  • Participate in the full life-cycle of tool development, test, and deployment.

  • Work closely with other team members and chip engineers to understand and optimize how workflows use the compute and storage environments.

  • Build metrics that are reliable and easy to use by hundreds of engineers around the world.

  • Continuously improve our chip development process.

  • Directly contribute to the overall quality and time to market for our next generation chips.

What we need to see:

  • Strong experience investigating and debugging complex, multi-discipline problems in a UNIX engineering environment.

  • Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on.

  • 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.

  • Authoritative level usage of UNIX and UNIX utilities.

  • Excellent planning and communication skills.

  • Experience in applying data analysis principles and influencing data-driven decisions.

  • Flexibility/adaptability working in a dynamic environment with changing requirements.

  • BS in Computer Science or equivalent experience; MS (preferred).

  • 5+yrs of relevant experience.

Ways to stand out from the crowd:

  • Experience with job schedulers (in particular IBM Spectrum LSF and/or SLURM).

  • Hands-on experience running GPU-based workloads in a batch computing environment and a deep understanding of distributed system principles.

  • Strong programming and debugging skills with C/C++, Python, and Perl on UNIX.

  • A passion for improving engineering productivity and efficiency via data-driven philosophy.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 2, 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

View All Nvidia Jobs

Apply