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Entry Level High Performance Computing Engineer Jobs in California

... of high-performance computing systems and server platforms. The ideal candidate has strong ... Collaborate with engineering teams to define system specifications and evaluate the interface ...

Junior System Engineer

Fremont, CA · On-site

$80K - $95K/yr

... of high-performance computing systems and server platforms. The ideal candidate has strong ... Collaborate with engineering teams to define system specifications and evaluate the interface ...

... entry-level candidates looking to grow their careers in High Performance Computing (HPC), Linux ... Communicate system status and issues with operations and engineering teams * Conduct physical ...

... entry-level candidates looking to grow their careers in High Performance Computing (HPC), Linux ... Communicate system status and issues with operations and engineering teams * Conduct physical ...

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

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 ...

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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:
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.
Junior System Engineer

Junior System Engineer

AMAX

Fremont, CA

$80K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 15 days ago


Job description

We are seeking a highly motivated System Engineer to join our Engineering team. 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 Linux environments, GPU-based computing systems, and enterprise server hardware, along with a passion for solving complex technical challenges.

Key Responsibilities

  • Design, configure, and deploy server and HPC systems, including GPU- and AI-based computing platforms.
  • Install, configure, and maintain Linux-based operating systems and related system software.
  • Perform system bring-up, validation, and performance testing for new hardware platforms.
  • Troubleshoot hardware, firmware, and operating system issues across server and cluster environments.
  • Collaborate with engineering teams to define system specifications and evaluate the interface between hardware and software to ensure operational and performance requirements are met.
  • Analyze technical data to recommend and plan system layouts; provide technical support for sales activities, including configuration development.
  • Review and approve quotations and assist in the timely resolution of technical issues.
  • Work closely with engineering, manufacturing, and support teams to resolve system integration challenges.
  • Develop and maintain system documentation, installation procedures, and troubleshooting guides.
  • Support customer deployments, system integrations, and proof-of-concept testing as needed.
  • Monitor system performance and recommend improvements to enhance stability, efficiency, and scalability.
  • Assist in evaluating new technologies, components, and system architectures to improve AMAX solutions.
  • Review customer system orders to verify and confirm configurations and system requirements.

Requirements

  • Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field (or equivalent experience).
  • Fresh grad or 1 year of experience working with server hardware, HPC systems, or data center infrastructure.
  • Strong experience with Linux operating systems (Ubuntu, CentOS, RHEL, etc.).
  • Experience working with GPU platforms (NVIDIA preferred) and accelerator-based computing systems.
  • Familiarity with server components such as CPUs, memory, storage, networking, and PCIe devices.
  • Experience troubleshooting hardware and system-level issues.
  • Strong problem-solving skills and the ability to work in a fast-paced engineering environment.

Preferred Qualifications

  • Knowledge of cluster environments, networking, and distributed computing is a plus.
  • Scripting experience (Bash, Python, or similar) is a plus.
  • Experience with AI/ML infrastructure or GPU clusters.
  • Familiarity with container technologies such as Docker or Kubernetes.
  • Experience with system validation, burn-in testing, or failure analysis.
  • Exposure to high-speed networking technologies (InfiniBand, RDMA).

The annual salary range for this position is between $80,000 and $95,000. This may be subject to change based on the candidate's education, experience and skill set.

Benefits

  • Medical, Dental, Vision Insurance
  • Flexible spending account
  • Health savings account
  • 401k match
  • Commuter benefits
  • Life and Accidental Insurance
  • Short- and Long-term Disability Insurance

We also have a perfect location for all types of commuters: AMAX is located right between I-680 and I-880. Warm Springs/South Fremont BART station and bus stops are within a 10-minute walking distance. 5 grocery stores, 6+ coffee/tea places, and numerous restaurants within 1 mile. Feel free to try the delicious fusions or grab your daily groceries after work!

About AMAX

Established in 1979, AMAX is a globally recognized leader in GPU-accelerated IT infrastructure, specializing in transforming standard IT systems into advanced, high-performance computing solutions. 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 semiconductor industry. With a global footprint spanning North America, Europe, and Asia, AMAX offers end-to-end services from design and manufacturing to deployment. Committed to addressing the growing demands of AI, AMAX delivers advanced solutions that help organizations achieve their technology goal and drive progress on a global scale. To learn more about AMAX's advanced AI solutions, visit amax.com.

Join Us

Become part of a diverse and inclusive team that values your technical expertise and innovative thinking. Together, we'll push the boundaries of what's possible in the hardware industry.

AMAX is proud to be an equal-opportunity employer. We welcome all applicants and provide equal employment opportunities regardless of age, race, gender, or other legally protected characteristics.