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Overnight Computer Chip Engineer Jobs (NOW HIRING)

EDA Workflow Optimization Engineer

Westford, MA · Hybrid

$115.90K - $136.70K/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 ...

EDA Workflow Optimization Engineer

Durham, NC · Hybrid

$107.70K - $127.10K/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 ...

EDA Workflow Optimization Engineer

Santa Clara, CA · Hybrid

$130.90K - $154.40K/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 ...

EDA Workflow Optimization Engineer

Austin, TX · Hybrid

$110.50K - $130.30K/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 ...

What You'll Do * Build and optimize our full-stack developer platform for chip engineers using ... Education: BS/MS in Computer Science, Software Engineering, Mathematics or a related field. Core ...

... chip (SoC). You'll ensure Apple products and services can seamlessly and efficiently handle the ... As a member of our CAD team, you will architect, develop, maintain and improve physical design ...

... chip (SoC). You'll ensure Apple products and services can seamlessly and efficiently handle the ... As a member of our CAD team, you will architect, develop, maintain and improve physical design ...

... chip (SoC). You'll ensure Apple products and services can seamlessly and efficiently handle the ... As a member of our CAD team, you will architect, develop, maintain and improve physical design ...

We're seeking a CAD Engineer to join our team and develop full-stack web applications that power ... Signoff is the critical final verification stage in chip design where designs are validated against ...

... chip (SoC). You'll ensure Apple products and services can seamlessly and efficiently handle the ... As a member of our CAD team, you will architect, develop, maintain and improve physical design ...

... chip (SoC). You'll ensure Apple products and services can seamlessly and efficiently handle the ... As a member of our CAD team, you will architect, develop, maintain and improve physical design ...

CAD Infrastructure Engineer

San Jose, CA · On-site

$126.50K - $234.90K/yr

Overview Rambus, a premier chip and silicon IP provider, is seeking to hire an exceptional CAD Infrastructure Engineer to join our Central CAD Team. Selected candidates will be joining some of the ...

... chip (SoC). You'll ensure Apple products and services can seamlessly and efficiently handle the ... As a member of our CAD team, you will architect, develop, maintain and improve physical design ...

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Showing results 1-20

Overnight Computer Chip Engineer information

See salary details

$48.5K

$121.5K

$137.5K

How much do overnight computer chip engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for overnight 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 the difference between Overnight Computer Chip Engineer vs Day Shift Computer Chip Engineer?

AspectOvernight Computer Chip EngineerDay Shift Computer Chip Engineer
Work HoursNight shifts, typically overnightDaytime hours, standard business hours
Work EnvironmentManufacturing or R&D facilities during night shiftsSame facilities during daytime
CredentialsSimilar certifications, such as EE degrees and chip design experienceSame credentials as overnight roles
Industry UsageUsed in 24/7 manufacturing plants and R&D labsStandard daytime operations in tech companies

The main difference between Overnight Computer Chip Engineer and Day Shift Computer Chip Engineer lies in their work hours and shift timing. Both roles require similar skills, credentials, and are used in the same industry environments. The overnight position allows companies to maintain continuous production or development, while day shift roles are typical for standard working hours.

More about Overnight Computer Chip Engineer jobs
What cities are hiring for Overnight Computer Chip Engineer jobs? Cities with the most Overnight Computer Chip Engineer job openings:
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 Overnight Computer Chip Engineer jobs? States with the most job openings for Overnight Computer Chip Engineer jobs include:
Infographic showing various Overnight Computer Chip Engineer job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
EDA Workflow Optimization Engineer

EDA Workflow Optimization Engineer

Nvidia Corporation

Santa Clara, CA • On-site

$130.90K - $154.40K/yr

Full-time

Posted 6 days ago


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 April 26, 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.

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