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Entry Level High Performance Computing Engineer Jobs in Berkeley, CA

Machine Learning Engineer At Krea, we are building next-generation AI creative tools. We are ... Conducting large-scale experiments on high-performance computing clusters, optimizing data ...

About you Ideal backgrounds include high-performance computing, custom CUDA kernels and GPU programming, AI/ML + data systems at scale. * Bachelor's or Master's degree in Computer Science, Software ...

Cloud HPC Engineer

Walnut Creek, CA · On-site +1

$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 ...

... high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers operates globally, tackling the ...

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 ...

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 ...

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 ...

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Showing results 1-20

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 Jun 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 the average salary for an HPC engineer in the US?

The average salary for an entry-level high performance computing (HPC) engineer in the US typically ranges from $70,000 to $90,000 annually, depending on experience, location, and specific technical skills such as parallel programming and cluster management. Salaries tend to increase with expertise in areas like GPU computing, Linux systems, and performance optimization.

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 engineers make $500,000?

High-level engineers in specialized fields such as software engineering, data engineering, or systems engineering can reach salaries of $500,000 or more, especially with extensive experience, advanced skills, and leadership roles. These roles often require expertise in high-demand technologies, certifications, and working in competitive industries or companies with lucrative compensation packages.

What engineers make $300,000 a year?

High-performance computing engineers with extensive experience, advanced skills in parallel programming, and expertise in hardware and software optimization can reach annual salaries of $300,000 or more, especially in senior or specialized roles. Such compensation often reflects leadership responsibilities, advanced certifications, or working in high-demand industries like technology or finance.

Can computer engineers make $500,000?

Entry-level high performance computing engineers typically do not earn $500,000 annually; such salaries are usually associated with senior roles, specialized skills, or leadership positions in the field. High salaries in this area often require extensive experience, advanced certifications, or working in high-demand industries or companies. Most entry-level positions start with lower compensation, but salaries can increase significantly with experience and expertise in areas like parallel computing, GPU programming, or data center management.

What are some common challenges faced by entry level High Performance Computing (HPC) 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 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.

What are the key skills and qualifications needed to thrive as an Entry Level High Performance Computing (HPC) 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 are popular job titles related to Entry Level High Performance Computing Engineer jobs in Berkeley, CA? For Entry Level High Performance Computing Engineer jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level High Performance Computing Engineer jobs in Berkeley, CA look for? The top searched job categories for Entry Level High Performance Computing Engineer jobs in Berkeley, CA are:
Infographic showing various Entry Level High Performance Computing Engineer job openings in Berkeley, CA as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 6% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $84,930 per year, or $40.8 per hour.

Machine Learning Engineer

Krea

San Francisco, CA

Other

Posted 12 days ago


Job description

Machine Learning Engineer

At Krea, we are building next-generation AI creative tools.

We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.

We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium.

We're looking for a machine learning engineer who can work on large-scale image and video models training experiments.

Some stuff you can do:

  • Train foundation diffusion models for image and video generation.
  • Train controllability modules such as IPAdapters or ControlNets.
  • Develop novel research techniques and put them into production.
  • Conducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasets

Example experience and skills we're looking for:

  • Proven track record in working with image or video models at scale (publications or open-source contributions a plus)
  • Strong background in deep learning frameworks and distributed training paradigms.
  • Ability to iterate rapidly, and propose creative research directions

A bit more about us:

We've raised over $83M and are backed by world-class Silicon Valley investors such as Andreessen Horiwitz, and the cofounder of the Meta AI Research laboratory (FMK as Facebook AI Research) or founding members of OpenAI.