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High Performance Computing Jobs in Berkeley, CA (NOW HIRING)

LeoForce

Chip Simulation Engineer

San Francisco, CA · On-site

$180 - $250/hr

Familiarity with GPUs, AI accelerators, custom silicon, or high-performance computing architectures * Experience debugging complex hardware/software interactions * Understanding of compilers ...

New

AMAX

Junior System Engineer

Fremont, CA · On-site

$80K - $95K/yr

This role will focus on the design, deployment, validation, and troubleshooting of high-performance computing systems and server platforms. The ideal candidate has strong experience working with ...

AMAX

Logistics Lead

Fremont, CA · On-site

Catering to industries such as AI, cloud computing, autonomous vehicles, and high-performance computing, AMAX has set benchmarks in innovation, including pioneering liquid-cooled HPC systems for the ...

AMAX

Logistics Lead

Fremont, CA · On-site

Catering to industries such as AI, cloud computing, autonomous vehicles, and high-performance computing, AMAX has set benchmarks in innovation, including pioneering liquid-cooled HPC systems for the ...

AMAX

Sales Operations Specialist

Fremont, CA · On-site

Catering to industries such as AI, cloud computing, autonomous vehicles, and high-performance computing, AMAX has set benchmarks in innovation, including pioneering liquid-cooled HPC systems for the ...

AMAX

Logistics Lead

Fremont, CA · On-site

Catering to industries such as AI, cloud computing, autonomous vehicles, and high-performance computing, AMAX has set benchmarks in innovation, including pioneering liquid-cooled HPC systems for the ...

AMAX

Industrial Engineer

Fremont, CA · On-site

$76K - $103K/yr

Catering to industries such as AI, cloud computing, autonomous vehicles, and high-performance computing, AMAX has set benchmarks in innovation, including pioneering liquid-cooled HPC systems for the ...

AMAX

Industrial Engineer

Fremont, CA · On-site

$76K - $103K/yr

Catering to industries such as AI, cloud computing, autonomous vehicles, and high-performance computing, AMAX has set benchmarks in innovation, including pioneering liquid-cooled HPC systems for the ...

AMAX

Industrial Engineer

Fremont, CA · On-site

$76K - $103K/yr

Catering to industries such as AI, cloud computing, autonomous vehicles, and high-performance computing, AMAX has set benchmarks in innovation, including pioneering liquid-cooled HPC systems for the ...

Menlo Ventures

Research Engineer

San Francisco, CA · On-site

$130 - $180/hr

Develop and optimize high-performance computing (HPC) infrastructure. * Integrate AI models into production systems, platforms, and front-end applications, ensuring scalability and reliability.

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Showing results 21-40

All JobsHigh Performance Computing JobsHigh Performance Computing Jobs in Berkeley, CA

High Performance Computing information

See Berkeley, CA salary details

$49K

$121.9K

$188K

How much do high performance computing jobs pay per year?

As of Sep 5, 2026, the average yearly pay for high performance computing in Berkeley, CA is $121,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,200.00 and $154,300.00 per year, depending on experience, location, and employer.

What is high performance computing?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What are the typical responsibilities of someone working in high performance computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

What are the key skills and qualifications needed to thrive in high performance computing, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

Is high performance computing still relevant?

High Performance Computing (HPC) remains highly relevant as it enables complex data processing, scientific simulations, and large-scale analytics across industries such as research, finance, and technology. HPC specialists with skills in parallel programming, cluster management, and relevant tools like MPI or CUDA are in demand to support advancements in AI, climate modeling, and big data analysis.

What are examples of high performance computing?

High Performance Computing (HPC) involves using powerful supercomputers and parallel processing techniques to solve complex computational problems. Examples include climate modeling, molecular simulations, financial risk analysis, and large-scale data processing in scientific research. HPC jobs often require knowledge of programming languages like C++ or Fortran, and familiarity with cluster management and parallel computing frameworks such as MPI or OpenMP.

What are the most commonly searched types of High Performance Computing jobs in Berkeley, CA?

The most popular types of High Performance Computing jobs in Berkeley, CA are:

What job categories do people searching High Performance Computing jobs in Berkeley, CA look for?

The top searched job categories for High Performance Computing jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for High Performance Computing jobs?

Cities near Berkeley, CA with the most High Performance Computing job openings:

High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $121,866 per year, or $58.6 per hour.

Chip Simulation Engineer

LeoForce

San Francisco, CA • On-site

$180 - $250/hr

Other

Medical, Dental, Vision

Posted 2 days ago

New

Job description

Chip Simulation Engineer

Experience: Senior Level

Salary: $180,000 - $250,000 per year

We're looking for a Chip Simulation Engineer to build software environments that model and simulate advanced compute architectures before or without direct access to physical hardware. You'll work at the intersection of computer architecture, systems software, and AI infrastructure, developing simulation and emulation capabilities that allow engineering teams to understand, test, and build against emerging hardware platforms.

What We're Looking For
  • Strong background in computer architecture, systems engineering, or hardware simulation
  • Strong programming experience in C, C++, Rust, or similar low-level languages
  • Experience developing or working extensively with simulators, emulators, or virtual hardware environments
  • Hands-on experience with technologies such as gem5, QEMU, Spike, Verilator, or similar platforms
  • Strong understanding of instruction set architectures, processors, accelerators, and memory systems
  • Experience modeling hardware behavior, execution environments, or performance characteristics
  • Familiarity with GPUs, AI accelerators, custom silicon, or high-performance computing architectures
  • Experience debugging complex hardware/software interactions
  • Understanding of compilers, runtimes, firmware, device drivers, or other low-level systems software is valuable
  • Experience with RTL, Verilog/SystemVerilog, or hardware design workflows is a plus
A bit about us:

We're a well-funded AI infrastructure startup developing modern software at the intersection of artificial intelligence, high-performance computing, and specialized hardware. The team is tackling complex performance challenges associated with running modern AI workloads across emerging compute architectures.

Why join us?
  • Well-funded by leading tech investors
  • Cutting edge technical problems with complex solutions
  • Lucrative Equity in a seed stage startup
  • Competitive compensation
  • Excellent benefits (healthcare, vision, dental)
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