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Entry Level High Performance Computing Engineer Jobs in Berkeley, CA

Mat3ra

☁ Cloud HPC Engineer ☁

Walnut Creek, CA · On-site

$130K - $200K/yr

Work will focus on (1) building a cloud-based high-performance computing platform for nanoscale materials and chemistry, (2) planning and organizing the work of the engineering team, (3) establishing ...

Mat3ra

☁ Cloud HPC Engineer ☁

Walnut Creek, CA · On-site

$130K - $200K/yr

Work will focus on (1) building a cloud-based high-performance computing platform for nanoscale materials and chemistry, (2) planning and organizing the work of the engineering team, (3) establishing ...

OpenAI

Software Engineer, Platform Systems

San Francisco, CA · On-site

$203K - $241K/yr

... high-performance computing or low-level systems engineering • Are excited to work on critical infrastructure that powers frontier AI research Company : OpenAI is an AI research and deployment ...

Anthropic

Performance Engineer

San Francisco, CA · On-site

High performance, large-scale ML systems * GPU/Accelerator programming * ML framework internals * OS internals * Language modeling with transformers Representative projects: * Implement low-latency ...

Foundation

AI Engineer (RL & WBC)

San Francisco, CA · On-site

... high-performance computing for distributed training. • Contributions to open-source RL, ML or robotics projects. • M.Sc. or Ph.D. in Robotics, Computer Science, Mechanical Engineering, or a ...

SF Tensor

Founding GPU Compiler Engineer

San Francisco, CA · On-site

$163K - $200K/yr

SF Tensor is a company focused on rethinking the software and infrastructure stack for AI and high-performance computing. They are seeking a Founding GPU Compiler Engineer to build the core ...

Sierra Ventures

Software Engineer

San Francisco, CA · On-site

$130 - $170/hr

Experience building high-performance backend systems. * Experience with asynchronous programming ... Interest in quantum computing or scientific software. * Experience with Rust, Go, or other systems ...

Slope

Software Engineer, Hardware

San Francisco, CA · On-site

$310 - $460/hr

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 ...

Q-CTRL

Software Engineer

San Francisco, CA · On-site

$130K - $170K/yr

Experience building high-performance backend systems. * Experience with asynchronous programming ... Interest in quantum computing or scientific software. * Experience with Rust, Go, or other systems ...

OpenAI

Software Engineer, Hardware

San Francisco, CA · On-site

$225K - $455K/yr

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 ...

Rigetti Computing

Quantum Engineer

Berkeley, CA · On-site

$155K - $200K/yr

As a Quantum Engineer at Rigetti Computing, you will be a key contributor to the development of our ... high-performance practical quantum computing. Rigetti has developed the industry's first multi-chip ...

Q-CTRL

Software Engineer

San Francisco, CA

$130K - $170K/yr

Experience building high-performance backend systems. * Experience with asynchronous programming ... Interest in quantum computing or scientific software. * Experience with Rust, Go, or other systems ...

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All JobsHigh Performance Computing Engineer JobsEntry Level High Performance Computing Engineer JobsEntry Level High Performance Computing Engineer Jobs in Berkeley, CA

Entry Level High Performance Computing Engineer information

See Berkeley, CA salary details

$36.7K

$84.9K

$144.5K

How much do entry level high performance computing engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for entry level high performance computing engineer in Berkeley, CA is $84,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $96,100.00 per year, depending on experience, location, and employer.

What is an entry level high performance computing engineer?

An Entry Level High Performance Computing (HPC) Engineer is a professional who assists in designing, building, and maintaining high-speed computing systems used for complex computations and large-scale data analysis. They typically work with supercomputers or computer clusters in fields like scientific research, finance, or engineering. Responsibilities often include configuring hardware, optimizing software, and troubleshooting system issues, usually under the guidance of more experienced engineers. Entry-level engineers may also help monitor system performance and support users in running high-performance applications.

What are some common challenges faced by entry level high performance computing engineers, and how can new hires successfully navigate them?

Entry level HPC engineers often encounter challenges such as working with complex parallel computing architectures, optimizing code for performance, and troubleshooting across large-scale, distributed systems. New hires may also need to quickly learn job-specific tools and adapt to rapidly evolving hardware and software environments. To navigate these challenges, it’s important to proactively seek mentorship, participate in team code reviews, and continuously build your skills through hands-on experience and training opportunities. Open communication and collaboration with experienced team members also play a key role in overcoming technical hurdles and growing within the HPC field.

What are the key skills and qualifications needed to thrive as an entry level high performance computing engineer, and why are they important?

To thrive as an Entry Level High Performance Computing Engineer, you typically need a solid background in computer science or engineering, familiarity with parallel computing concepts, and proficiency in programming languages like C/C++ or Python. Experience with Linux environments, HPC cluster management tools, and knowledge of batch schedulers or MPI/OpenMP are often required. Strong problem-solving abilities, teamwork, and effective communication help you excel in collaborating with researchers and technical teams. These skills ensure efficient support and optimization of complex computing systems critical for scientific and technical advancements.

What is the difference between Entry Level High Performance Computing Engineer vs Entry Level Data Scientist?

AspectEntry Level High Performance Computing EngineerEntry Level Data Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of parallel computingBachelor's in Data Science, Statistics, or related; programming skills in Python/R
Work EnvironmentResearch labs, tech companies, supercomputing centersBusiness, tech firms, research institutions
Industry UsageHigh-performance computing, scientific research, simulationsData analysis, machine learning, predictive modeling

Entry Level High Performance Computing Engineers focus on developing and optimizing computational systems for scientific and technical applications, while Entry Level Data Scientists analyze data to extract insights. Both roles require programming skills and a strong technical background, but they serve different industry needs and environments.

Entry Level High Performance Computing Engineer jobs near you
Infographic showing various Entry Level High Performance Computing Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $84,930 per year, or $40.8 per hour.

Software Engineer, Fleet Hardware Health

OpenAI

San Francisco, CA • On-site

$145K - $192K/yr

Full-time

Re-posted 26 days ago

Job description

Job Summary:
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. As a software engineer on the Fleet Hardware team, you will be responsible for the reliability and uptime of OpenAI’s compute fleet, minimizing hardware failures and developing automation solutions to maintain the health of supercomputing infrastructure.
Responsibilities:
• Build and maintain automation systems for provisioning and managing server fleets.
• Develop tools to monitor server health, performance, and lifecycle events.
• Collaborate with clusters, networking, and infrastructure teams.
• Partner with external operators to ensure a high level of quality.
• Identify and fix performance bottlenecks and inefficiencies.
• Continuously improve automation to reduce manual work.
Qualifications:
Required:
• Experience managing large-scale server environments.
• A balance of strengths in building and operationalizing.
• Proficiency in Python, Go, or similar languages.
• Strong Linux, networking, and server hardware knowledge.
• Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool.
Preferred:
• Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning)
• Knowledge of hardware management protocols (e.g., IPMI, Redfish).
• High-performance computing (HPC) or distributed systems experience.
• Prior experience developing, managing, or designing hardware.
• Familiarity with monitoring tools (e.g., Prometheus, Grafana).
Company:
OpenAI is an AI research and deployment company that develops advanced AI models, including ChatGPT. It is a sub-organization of OpenAI Foundation. Founded in 2015, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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