ZipRecruiter

Log In

2

Entry Level Computer Chip Engineer Jobs in California

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

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 ...

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 ...

Ricursive

Software Engineer, Chip Design

Palo Alto, CA · On-site

$200 - $250/hr

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

Brahma Consulting Group

Software Engineer

Palo Alto, CA

$160K - $240K/yr

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 ...

Nova Ltd.

Mechanical Engineer

Fremont, CA · On-site

$110K - $130K/yr

Description We are seeking a Mechanical Design Engineer to join our multi-disciplinary team focused ... computer chip built in the world. Nova dives deep into dimensions and layers at the atomic level to ...

Etched

Front-End CAD Engineer

Cupertino, CA · On-site

$2.0K/mo

Ability to automate and optimize CAD workflows for chip design verification. * Ability to interface ... We do not have boundaries between engineering and research, and we expect all of our technical ...

Etched

Front-End CAD Engineer

Cupertino, CA · On-site

$2.0K/mo

Ability to automate and optimize CAD workflows for chip design verification. * Ability to interface ... We do not have boundaries between engineering and research, and we expect all of our technical ...

Etched

Front-End CAD Engineer

Cupertino, CA · On-site

$2.0K/mo

Ability to automate and optimize CAD workflows for chip design verification. * Ability to interface ... We do not have boundaries between engineering and research, and we expect all of our technical ...

Nova Ltd.

Senior Field Service Engineer

Fremont, CA · On-site

$56 - $62/hr

The Sr. Field Service Engineer will perform advanced engineering and technical activities while ... computer chip built in the world. Nova dives deep into dimensions and layers at the atomic level to ...

next page

Showing results 1-20

All JobsComputer Chip Engineer JobsEntry Level Computer Chip Engineer JobsEntry Level Computer Chip Engineer Jobs in California

Entry Level Computer Chip Engineer information

What is the difference between Entry Level Computer Chip Engineer vs Entry Level Electrical Engineer?

AspectEntry Level Computer Chip EngineerEntry Level Electrical Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related field; knowledge of VLSI design and programmingBachelor's in Electrical Engineering or related; broader focus on electrical systems and circuits
Work EnvironmentSemiconductor companies, tech firms, R&D labs; focus on chip design and testingPower plants, manufacturing, consumer electronics; focus on electrical systems and device integration
Industry UsagePrimarily in semiconductor and tech industriesWider range including energy, manufacturing, and electronics

Entry Level Computer Chip Engineers focus on designing and testing integrated circuits and chips, often within tech and semiconductor companies. Entry Level Electrical Engineers have a broader scope, working on electrical systems across various industries. Both roles require similar educational backgrounds but differ in specialization and work environment.

How to become an entry level computer chip engineer?

To become an entry-level computer chip engineer, candidates typically need a bachelor's degree in electrical engineering, computer engineering, or a related field. Gaining experience through internships, developing skills in hardware description languages like VHDL or Verilog, and understanding semiconductor manufacturing processes are also important for entry into this role.

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

The most popular types of Computer Chip Engineer jobs in California are:

What are popular job titles related to Entry Level Computer Chip Engineer jobs in California?

For Entry Level Computer Chip Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Computer Chip Engineer jobs in California look for?

The top searched job categories for Entry Level Computer Chip Engineer jobs in California are:

What cities in California are hiring for Entry Level Computer Chip Engineer jobs?

Cities in California with the most Entry Level Computer Chip Engineer job openings:

Entry Level Computer Chip Engineer jobs near you
Infographic showing various Entry Level Computer Chip Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 65% Full Time, 30% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution.

EDA Workflow Optimization Engineer

Santa Clara, CA • Hybrid

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

$130K - $154K/yr

Full-time

Re-posted 19 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 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