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Entry Level High Performance Computing Engineer Jobs in California

Zealogics.com

HPC engineer

San Jose, CA · On-site

Candidates should have good domain knowledge in High-Performance Computing, script language(Shell ... Programming language: Python, Shell * Virtualization and containerization * Computer network

LLNL

Machine Learning Research Engineer

Livermore, CA · On-site

$146K - $222K/yr

Adapt and deploy common machine learning software stack on large-scale high performance computing clusters. * Actively participate with project scientists and engineers in defining, planning, and ...

LLNL

Machine Learning Research Engineer

Livermore, CA

$146K - $222K/yr

Adapt and deploy common machine learning software stack on large-scale high performance computing clusters. * Actively participate with project scientists and engineers in defining, planning, and ...

LLNL

Machine Learning Research Engineer

Livermore, CA · On-site

$9.8K/wk

Adapt and deploy common machine learning software stack on large-scale high performance computing clusters. * Actively participate with project scientists and engineers in defining, planning, and ...

Caltech

Software Engineer

Pasadena, CA · On-site

$85K - $135K/yr

Caltech is a world-renowned science and engineering institute that marshals some of the world ... Experience working with high-performance computing systems, including multicore processors, GPUs ...

New

xAI

Software Engineer - Network (C++)

Palo Alto, CA · On-site

... high-performance computing, low-latency networking, or resource-constrained environments. • Creative problem-solving ability with exceptional analytical skills and strong engineering fundamentals ...

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Entry Level High Performance Computing Engineer information

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 (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 the most commonly searched types of High Performance Computing Engineer jobs in California? The most popular types of High Performance Computing Engineer jobs in California are:
What are popular job titles related to Entry Level High Performance Computing Engineer jobs in California? For Entry Level High Performance Computing Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level High Performance Computing Engineer jobs in California look for? The top searched job categories for Entry Level High Performance Computing Engineer jobs in California are:
What cities in California are hiring for Entry Level High Performance Computing Engineer jobs? Cities in California with the most Entry Level High Performance Computing Engineer job openings:
Entry Level High Performance Computing Engineer jobs near you
Infographic showing various Entry Level High Performance Computing Engineer job openings in California as of July 2026, with employment types broken down into 3% Locum Tenens, 86% Full Time, 9% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

HPC engineer

Zealogics.com

San Jose, CA • On-site

Contractor

Re-posted 15 days ago

Job description

Job Responsibilities
  • Candidates should have good domain knowledge in High-Performance Computing, script language(Shell, Python), Linux administrator, operating systems (Linux, Windows), computer network
  • Distributed file systems (Lustre/NFS), virtualization and containerization related experience is a plus
  • Configuration and maintenance of the HPC computer rack/hardware. Professionally resolve hardware issues
  • HPC Rack, Build, cable, configure, and provision Linux kernel, windows server.
  • HPC Operating System Installation/provision - Windows Server, Linux, Unix.
  • Troubleshooting and resolving hardware problems on Linux cluster hardware and networking equipment and applying logical methods of resolution
  • Preventive maintenance of cluster hardware
  • Web Server and Database installation experience a plus
  • Must be willing to learn quickly, multitask, and work in a fast pace environment.
Required skills :
  • Operating systems: Linux, Windows
  • Hands-on HPC hardware knowledge
  • Programming language: Python, Shell
  • Virtualization and containerization
  • Computer network
  • Distributed file systems
  • Network switch topology

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