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High Performance Computing Jobs in Los Angeles, CA

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Software Engineer

Los Angeles, CA · On-site

$115K - $150K/yr

You'll work with a talented engineering team from some of the world's most innovative companies across a range of projects including controls, high-speed data acquisition, high-performance computing ...

Navitas Semiconductor

Product Engineer, SiC

Torrance, CA · On-site

$90K - $135K/yr

Our products enable faster, more efficient power delivery across AI data centers, high-performance computing, energy and grid infrastructure, and industrial electrification. The Product Engineer ...

Voxelcloud

Information Technology Manager

Los Angeles, CA · On-site

$102K - $125K/yr

Experience with HPC (High performance computing) and managing 50+ servers * Professional certificates such as Red Hat Certified System Administrator are also a big plus Additional Information We ...

Voxelcloud

Information Technology Manager

Los Angeles, CA · On-site

$102K - $125K/yr

Experience with HPC (High performance computing) and managing 50+ servers * Professional certificates such as Red Hat Certified System Administrator are also a big plus Additional Information We ...

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High Performance Computing information

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$43.1K

$107.2K

$165.4K

How much do high performance computing jobs pay per year?

As of Sep 4, 2026, the average yearly pay for high performance computing in Los Angeles, CA is $107,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $135,800.00 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 popular job titles related to High Performance Computing jobs in Los Angeles, CA?

For High Performance Computing jobs in Los Angeles, CA, the most frequently searched job titles are:

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

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

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

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

High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $107,242 per year, or $51.6 per hour.

Product Engineer, SiC

Navitas Semiconductor

Torrance, CA • On-site

Full-time

Re-posted 9 days ago

Job description

Job Purpose

Navitas Semiconductor (Nasdaq: NVTS) is a next-generation power semiconductor leader driving innovation in gallium nitride (GaN) and high-voltage silicon carbide (SiC) technologies. Our products enable faster, more efficient power delivery across AI data centers, high-performance computing, energy and grid infrastructure, and industrial electrification.

The Product Engineer – SiC supports the development and production of high-voltage Silicon Carbide power devices spanning the 650 V to 10 kV range. This role helps ensure robust electrical performance, manufacturability, yield, reliability, and customer quality from initial silicon bring-up through high-volume manufacturing and field deployment.

Key Responsibilities and Duties

  • Execute device characterization across the SiC portfolio, including test planning, measurement, and reporting.
  • Support the qualification of new technologies and products.
  • Develop CP and FT test plans and validate test hardware and test programs.
  • Support cross-functional task forces in resolving critical quality and yield issues.
  • Analyze CP/FT and characterization data to drive yield and quality improvements.
  • Support lot disposition, yield monitoring, and sustaining engineering activities.
  • Drive test-limit optimization and continuous-improvement initiatives.
  • Perform wafer probing, bench debugging, and root cause analysis.
  • Collaborate with Test, Reliability, Operations, and Packaging teams.

Required Qualifications

  • B.S. or M.S. in Electrical Engineering, Physics, or a related field.
  • 2–3 years of experience in high-voltage SiC (or discrete power device) product, test, or characterization engineering.
  • Experience with semiconductor device analysis and debugging.
  • Hands-on bench testing experience with high-voltage discrete FETs, including the use of low-voltage (LV) and high-voltage (HV) power supplies, digital multimeters (DMMs), and oscilloscopes.
  • Strong data-analysis skills (SPC, Cpk, yield).
  • Familiarity with CP/FT production flows.

Preferred Qualifications

  • Experience with failure analysis and reliability testing.
  • Exposure to SiC device physics and reliability mechanisms (gate oxide, avalanche/UIS, short-circuit).
  • Knowledge of JMP, Python, or similar data-analysis tools.

What We Offer

  • A front-row seat to the future of power electronics through industry-leading SiC and GaN technologies.
  • Hands-on ownership across the full product lifecycle, from silicon bring-up to high-volume manufacturing.
  • A fast-paced, execution-focused environment with strong mentorship and deep technical expertise across teams.

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