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Entry Level Computer Hardware Engineer Jobs in Richmond, CA

About the Role As a software engineer on the Scaling team, you'll help build and optimize the low ... return all computer hardware in your possession (including the data contained therein) upon ...

New

ML engineers, chemists, computer scientists, and hardware engineers. We are building a small, unusually ambitious team and are looking for an engineer who wants substantial ownership over design and ...

Hardware Engineer

San Francisco, CA · On-site

$120K - $175K/yr

YOUR MISSION As a hardware engineer, you'll get to re-imagine and design hardware for our fleet of ... CAD software design package (e.g. Solidworks, Onshape, Fusion 360) * 2+ years of experience in ...

About the Role As a software engineer on the Scaling team, you'll help build and optimize the low ... return all computer hardware in your possession (including the data contained therein) upon ...

Lead Hardware Engineer

San Francisco, CA · On-site

$120K - $159K/yr

Broad ownership of the hardware design, manufacturing and capabilities of the Dapster robots (we ... Excellent fluency in CAD/CAM tools, allowing the engineer to "think" with the tool. * Fluid ...

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

Our platform combines advanced hardware, software, artificial intelligence, satellite imagery, and ... The Role We are looking for a motivated Computer Vision Engineer to help build the next generation ...

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Entry Level Computer Hardware Engineer information

See Richmond, CA salary details

$125.7K

$167K

$204.9K

How much do entry level computer hardware engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for entry level computer hardware engineer in Richmond, CA is $166,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,700.00 and $196,300.00 per year, depending on experience, location, and employer.

What is an entry level computer hardware engineer?

An Entry Level Computer Hardware Engineer designs, tests, and develops computer hardware components such as processors, circuit boards, memory devices, and peripherals. They work under the guidance of senior engineers to improve system performance and troubleshoot hardware issues. Their responsibilities may also include collaborating with software engineers to ensure compatibility between hardware and software. Typically, they are employed by technology companies, hardware manufacturers, or research institutions. This role requires a background in electrical or computer engineering and proficiency in hardware design tools.

What are typical projects or tasks for an entry level computer hardware engineer?

Entry-level computer hardware engineers are often involved in tasks such as assisting in the design and testing of circuit boards, performing system integration, and supporting senior engineers with troubleshooting and validation. They may also be responsible for documenting test results, updating schematics, and conducting research on new components or technologies. Team members frequently work together to prototype hardware solutions, address technical challenges, and ensure products meet performance and safety standards. This collaborative environment provides valuable on-the-job learning and exposure to the full hardware development lifecycle.

What are the key skills and qualifications needed to thrive as an entry level computer hardware engineer?

To thrive as an Entry Level Computer Hardware Engineer, you need a solid understanding of digital and analog circuits, computer architecture, and a bachelor's degree in electrical or computer engineering. Familiarity with hardware design tools like Verilog/VHDL, PCB layout software, and proficiency in using oscilloscopes or logic analyzers are often required, along with relevant internships or lab experience. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help individuals excel in this role. These competencies ensure you can contribute to the design, testing, and troubleshooting of hardware systems while collaborating smoothly with multidisciplinary teams.

What are popular job titles related to Entry Level Computer Hardware Engineer jobs in Richmond, CA?

For Entry Level Computer Hardware Engineer jobs in Richmond, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Computer Hardware Engineer jobs in Richmond, CA look for?

The top searched job categories for Entry Level Computer Hardware Engineer jobs in Richmond, CA are:

What cities near Richmond, CA are hiring for Entry Level Computer Hardware Engineer jobs?

Cities near Richmond, CA with the most Entry Level Computer Hardware Engineer job openings:

Infographic showing various Entry Level Computer Hardware Engineer job openings in Richmond, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $166,986 per year, or $80.3 per hour.

Software Engineer, Hardware

Slope

San Francisco, CA • On-site

$310 - $460/hr

Other

Posted yesterday

New


Job description

About the Team

OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the Role

As a software engineer on the Scaling team, you'll help build and optimize the low-level stack that orchestrates computation and data movement across OpenAI's supercomputing clusters. Your work will involve designing high-performance runtimes, building custom kernels, contributing to compiler infrastructure, and developing scalable simulation systems to validate and optimize distributed training workloads.

You will work at the intersection of systems programming, ML infrastructure, and high-performance computing, helping to create both ergonomic developer APIs and highly efficient runtime systems. This means balancing ease of use and introspection with the need for stability and performance on our evolving hardware fleet.

This role is based in San Francisco, CA, with a hybrid work model (3 days/week in-office). Relocation assistance is available.

In this role, you will:
  • Design and build APIs and runtime components to orchestrate computation and data movement across heterogeneous ML workloads.
  • Contribute to compiler infrastructure, including the development of optimizations and compiler passes to support evolving hardware.
  • Engineer and optimize compute and data kernels, ensuring correctness, high performance, and portability across simulation and production environments.
  • Profile and optimize system bottlenecks, especially around I/O, memory hierarchy, and interconnects, at both local and distributed scales.
  • Develop simulation infrastructure to validate runtime behaviors, test training stack changes, and support early-stage hardware and system development.
  • Rapidly deploy runtime and compiler updates to new supercomputing builds in close collaboration with hardware and research teams.
  • Work across a diverse stack, primarily using Rust and Python, with opportunities to influence architecture decisions across the training framework.
You might thrive in this role if you:
  • Have a deep curiosity for how large-scale systems work and enjoy making them faster, simpler, and more reliable.
  • Are proficient in systems programming (e.g., Rust, C++) and scripting languages like Python.
  • Have experience in one or more of the following areas: compiler development, kernel authoring, accelerator programming, runtime systems, distributed systems, or high-performance simulation.
  • Are excited to work in a fast-paced, highly collaborative environment with evolving hardware and ML system demands.
  • Value engineering excellence, technical leadership, and thoughtful system design.
About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $310K - $460K

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