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Entry Level Computer Hardware Engineer Jobs in Renton, WA

Performance Modeling Engineer

Seattle, WA · On-site

$266K - $445K/yr

... 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 ...

1. Hardware Testing methodologies 2. Knowledge on computer performance metrics (things to measure) - i.e. Latency, Throughput, 3. Knowledge (Installing/Upgrading & Troubleshooting) on Drivers ...

Software Engineer, Real Time

Seattle, WA · On-site

$185K - $385K/yr

... 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 ...

... 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 ...

... 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 ...

Software Engineer, Codex App

Seattle, WA · On-site

$230K - $385K/yr

... 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 ...

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Entry Level Computer Hardware Engineer information

See Renton, WA salary details

$123.7K

$164.3K

$201.6K

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

As of May 31, 2026, the average yearly pay for entry level computer hardware engineer in Renton, WA is $164,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,500.00 and $193,100.00 per year, depending on experience, location, and employer.

What is an Entry Level Computer Hardware Engineer job?

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 the key skills and qualifications needed to thrive in the Entry Level Computer Hardware Engineer position, and why are they important?

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 typical projects or tasks for entry-level computer hardware engineers?

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 is the salary of an entry level computer hardware engineer in the US?

An entry-level computer hardware engineer in the US typically earns between $60,000 and $80,000 annually, depending on location, education, and industry. Starting salaries may increase with certifications, such as CompTIA or Cisco, and relevant internship experience.
What are popular job titles related to Entry Level Computer Hardware Engineer jobs in Renton, WA? For Entry Level Computer Hardware Engineer jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Hardware Engineer jobs in Renton, WA look for? The top searched job categories for Entry Level Computer Hardware Engineer jobs in Renton, WA are:
What cities near Renton, WA are hiring for Entry Level Computer Hardware Engineer jobs? Cities near Renton, WA with the most Entry Level Computer Hardware Engineer job openings:
Infographic showing various Entry Level Computer Hardware Engineer job openings in Renton, WA as of May 2026, with employment types broken down into 97% Full Time, 1% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, and 14% Remote job distribution, with an average salary of $164,329 per year, or $79 per hour.
Performance Modeling Engineer

Performance Modeling Engineer

OpenAI

Seattle, WA • On-site

$266K - $445K/yr

Full-time

Posted 9 days ago


Job description

About the Team
OpenAI's Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions.
Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and inform next-generation infrastructure design.
About the Role
We are seeking Performance Modeling Engineers to develop and apply modeling tools that evaluate AI system performance and inform architectural decisions.
In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks and applying them to real-world questions that impact system design and vendor decisions.
This role is well-suited for engineers with strong software or modeling backgrounds who are interested in developing deeper expertise in system architecture and AI infrastructure.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.
Key Responsibilities
  • Develop and maintain performance modeling tools and frameworks.
  • Build models to evaluate system behavior across:
    • compute, memory, and interconnect subsystems
    • distributed system scaling and bottlenecks.
  • Run simulations and analytical models to support architectural tradeoff analysis.
  • Collaborate with performance modeling lead and system architects to answer forward-looking design questions.
  • Analyze and interpret modeling outputs, translating results into actionable insights.
  • Validate models against real system measurements and workload behavior.
  • Contribute to improving modeling fidelity, usability, and scalability.

Qualifications
  • Strong software engineering or modeling background (e.g., simulation, systems modeling, or performance analysis).
  • Familiarity with system architecture fundamentals (compute, memory, networking).
  • Experience with programming and building technical tools or frameworks.
  • Ability to reason about performance bottlenecks and scaling behavior.
  • Strong analytical skills and comfort working with quantitative models.
  • Ability to collaborate across teams and learn new system domains quickly.

Preferred Skills
  • Exposure to AI/ML workloads or distributed systems.
  • Experience with simulation tools, performance modeling, or systems analysis.
  • Familiarity with data center infrastructure or large-scale systems.
  • Experience working with performance data, benchmarking, or profiling tools.
  • Interest in system architecture and hardware/software co-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.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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.