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Internship High Performance Computing Engineer Jobs in California

The GPU Performance Engineer will focus on the design, implementation, and maintenance of cloud ... intelligence and high-performance computing workloads. Founded in 2017, the company is ...

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Internship High Performance Computing Engineer information

What are the key skills and qualifications needed to thrive as an Internship High Performance Computing (HPC) Engineer, and why are they important?

To thrive as an Internship High Performance Computing Engineer, you need a solid background in computer science fundamentals, programming (especially in C/C++ or Python), and a familiarity with parallel computing concepts, often supported by coursework or relevant project experience. Experience with Linux environments, HPC clusters, and distributed computing frameworks, as well as tools like MPI, OpenMP, or Slurm, is commonly required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively within technical teams help interns stand out. These skills ensure you can efficiently support computational research, resolve technical challenges, and contribute meaningfully to HPC projects.

What is the difference between Internship High Performance Computing Engineer vs Internship Data Scientist?

AspectInternship High Performance Computing EngineerInternship Data Scientist
Required SkillsProgramming (C++, Python), parallel computing, HPC systemsStatistics, machine learning, data analysis, Python/R
Work EnvironmentResearch labs, tech companies, academia with focus on HPC systemsTech firms, finance, healthcare, research institutions
Industry UsageHigh-performance computing projects, scientific simulationsData analysis, predictive modeling, business insights

Internship High Performance Computing Engineers focus on developing and optimizing computational systems for large-scale scientific and engineering problems, requiring skills in parallel programming and HPC environments. In contrast, Internship Data Scientists analyze data to extract insights, using statistical and machine learning techniques. Both roles are valuable in tech and research sectors but differ in technical focus and daily tasks.

What is an Internship High Performance Computing Engineer?

An Internship High Performance Computing (HPC) Engineer is a student or early-career professional who works with advanced computing systems designed for processing large data sets and complex calculations at high speeds. During the internship, they assist in developing, optimizing, and maintaining HPC infrastructure, software, or applications used in scientific research, engineering, or data analysis. The role often involves learning about parallel computing, cluster management, and performance tuning, while gaining hands-on experience with cutting-edge technologies. Interns work under the supervision of experienced HPC engineers, contributing to projects that advance computational capabilities in various fields.

What types of projects can I expect to work on as an Internship High Performance Computing Engineer?

As an Internship High Performance Computing (HPC) Engineer, you will typically contribute to projects involving optimization of scientific applications, performance analysis, and cluster management. Interns often assist with benchmarking software, troubleshooting issues in parallel computing environments, and supporting researchers with technical solutions. You'll likely collaborate closely with senior HPC engineers, system administrators, and academic researchers to ensure efficient use of computing resources. This hands-on experience provides valuable insight into real-world challenges faced in HPC environments and helps build a strong foundation for future roles in the field.
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:
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What cities in California are hiring for Internship High Performance Computing Engineer jobs? Cities in California with the most Internship High Performance Computing Engineer job openings:

Software Engineer III - Edge Computing

Voyager Technologies Inc

Long Beach, CA

$104K - $163K/yr

Other

Medical, Retirement, PTO

Posted 12 days ago


Job description

Software Engineer III - Edge Computing

Folsom, CA; Beavercreek, OH; Long Beach, CA

Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space.

Forge the future: Join Voyager Technologies

The future belongs to those who build it. At Voyager Technologies, we're building technologies that protect lives, expand frontiers and prepare us for what's next. And we're doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.

You'll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We're a company of doers, thinkers and builders, united by purpose and grounded in reality.

If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager.

Job Summary:

The Senior Edge Computing Engineer is a hands-on developer role responsible for the core performance of our fielded systems. You will own critical subsystems, utilizing advanced GPGPU techniques to process high-velocity data streams in real-time. You will work with minimal supervision to architect and implement solutions that run on diverse hardware targets, from multi-GPU rackmount servers to power-constrained embedded modules.

Responsibilities:

  • High-Performance Computing: Design and implement high-throughput processing pipelines using Modern C++ and GPU-accelerated frameworks (e.g., CUDA, Holoscan, ROCm).
  • Kernel Optimization: Write and optimize custom GPU kernels for signal processing operations, managing memory coalescing and host-to-device data transfers to minimize latency.
  • System Profiling: Profile full-stack software performance to identify CPU/GPU bottlenecks, optimizing memory usage and PCIe bandwidth utilization.
  • Hardware Abstraction: Design software interfaces that abstract specific hardware peripherals, ensuring our GPU-based algorithms can run on a variety of radio and sensor platforms.
  • Edge Infrastructure: Manage the build and deployment pipelines for embedded Linux operating systems, ensuring fielded systems correctly expose accelerator resources to containerized applications.

Requirements:

  • Bachelor's Degree in Computer Science or Engineering from an accredited college/university.
  • Ability to obtain and maintain a DoD clearance; active clearance preferred
  • Proven ability to lead engineering teams in a structured software product development environment
  • Strong organizational and technical communication skills, including presenting to internal and government stakeholders
  • Four (4) year to seven (7) years of software engineering design experience
  • Proven experience leading software engineering teams through full development lifecycle

Preferences:

  • Current DoD Top Secret SCI Security Clearance
  • Master's Degree in Computer Science or Engineering from an accredited college/university.
  • Background in Digital Signal Processing (DSP) or RF systems
  • Experience with kernal-bypass networking (DPDK, RDMA) or GPUDirect technologies

Skills:

  • Languages: Expert proficiency in Modern C++. Willingness to work with or learn Rust for safety-critical components.
  • GPU Frameworks: Proven experience with CUDA or similar parallel computing standards. Ability to reason about heterogeneous memory architectures (Unified Memory, Zero-Copy).
  • Infrastructure: Solid experience with Linux system administration, container orchestration (Kubernetes/Docker), and networking configuration.
  • Architecture: Experience designing decoupled, modular software components using standard protocols (e.g., gRPC, Protobuf).

Salary Range: $104,236-$163,300

Voyager offers a comprehensive, total compensation package, which includes competitive salary, a discretionary annual bonus plan, paid time off (PTO), a comprehensive health benefit package, retirement savings, wellness program, and various other benefits. When you join our team, you're not just an employee; you become part of a dynamic community dedicated to innovation and excellence.

To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) (22 CFR Parts 120–130) and the Export Administration Regulations (EAR) (15 CFR Parts 730–774), applicants for this position must be a U.S. Person: a US Citizen, a lawful permanent resident of the U.S., or a protected individual as defined by 8 U.S.C. § 1324b(a)(3). Applicants must be eligible to obtain any required export authorizations from the U.S. Department of State or the U.S. Department of Commerce. Able to obtain and maintain a U.S. security clearance

Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Minority/Female/Disabled/Veteran

The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice.

California pay range

$113,300 - $163,300 USD