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Internship High Performance Computing Engineer Jobs in Orange, CA

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 ...

Lawrence Harvey

Senior Platform Engineer

Los Angeles, CA · On-site

$140K - $201K/yr

Senior Platform Engineer Lawrence Harvey are working exclusively with a well-funded, venture-backed ... Familiarity with high-performance computing (HPC) environments. * Experience with monitoring and ...

Saim Technologies

R&D FEA Engineer

Irvine, CA · On-site

Master s or PhD in Biomedical Engineering, Mechanical Engineering, Applied Mechanics, or related ... Experience with running simulations on high-performance computing clusters. * Experience with ...

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How much do internship high performance computing engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for internship high performance computing engineer in Orange, CA is $64.21, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $72.69 per hour, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as an internship high performance computing engineer?

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 job categories do people searching Internship High Performance Computing Engineer jobs in Orange, CA look for?

The top searched job categories for Internship High Performance Computing Engineer jobs in Orange, CA are:

What cities near Orange, CA are hiring for Internship High Performance Computing Engineer jobs?

Cities near Orange, CA with the most Internship High Performance Computing Engineer job openings:

Internship High Performance Computing Engineer jobs near you

Sr Embedded DSP Engineer - High Performance Signal Processing

Mach Industries

Huntington Beach, CA • On-site

$130K - $240K/yr

Full-time

Medical, Life, Retirement

Posted 9 days ago

Job description

About Mach Industries
Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition.
Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security.
The Role
The Sr Embedded DSP Engineer - High Performance Signal Processing will play a key role in developing advanced RF sensing capabilities for Mach's autonomous defense platforms. Working on the DART team, you will focus directly on next-generation counter-UAV radar systems and RF seekers.
You will design radar signal-processing algorithms and implement them as high-performance, low-latency embedded software on high performance processors. You will own capabilities across the full development lifecycle - from mathematical modeling and algorithm prototyping and implementation on high performance processing cores, performance optimization, hardware integration, and system-level validation.
This role involves close collaboration with RF, FPGA, hardware, GNC engineers to ensure the successful development of high-performance, low-latency radar systems that meet mission-critical requirements. Success in this role requires strong technical execution, adaptability and expertise in signal processing theory, low level C and hands-on experience optimizing real-time processing pipelines in a fast-paced, iterative, start-up environment.
Key Responsibilities
  • Mission: Build next generation counter-UAV defense systems that will be used to defend human lives, critical infrastructure, and high value assets for the United States and its allies.
  • Radar signal processing: Develop high performance radar and RF sensing signal processing software, including FFT processing, beamforming and detection on high performance embedded systems, to detect and track targets with high accuracy/resolution while meeting strict latency, memory and power constraints and update rate requirements.
  • Modeling & simulation: Develop radar models and simulation tools to prototype candidate algorithms and simulate the performance of the radar system and generate test vectors to validate the accuracy of the radar system.
  • Firmware development: Write highly efficient, well-tested production code in C/C++ across platforms ranging from lower power MCUs to high-performance multi-core processors.
  • Algorithm and software validation: Develop unit, functional and lab tests to validate the numerical accuracy, real-time performance of the individual software modules and end-to-end signal processing chain.
  • Hardware co-design: Work with hardware engineers on component selection and optimal hardware-software trade-offs (performance, power, form factor and cost).
  • RF calibration & seeker optimization: Develop automated calibration methods and software for measuring, storing, and applying RF signal-chain corrections. Use calibration and signal processing to maximize end-to-end sensor performance.
  • Testing and reliability: Own embedded software quality and reliability and signal processing chain performance by proactively identifying, documenting/tracking and fixing issues to maintain the high performance of Mach's radar systems.
  • Project planning: Contribute to project planning, including communicating risks/blockers and manage engineering trade-offs.
  • Documentation: Author clear software specifications, software architecture designs and testing procedures to support manufacturing and scalability.

Required Qualifications
  • Education: Bachelor's or Master's degree in Software Engineering, Computer Science, Electrical Engineering, System Engineering, or a related field.
  • Experience: 5+ years of experience developing production signal processing software for radar, RF sensing, EW signal processing, wireless or similarly demanding real-time systems.
  • Signal processing fundamentals: Strong knowledge of digital signal processing, statistical signal processing, estimation, detection theory, or related discipline.
  • Algorithm development: Ability to identify and translate mathematical models into implementable algorithms that meet system requirements and performance.
  • Modeling and analysis: Proficiency with Python, MATLAB, or similar tools for algorithm development, simulation, recorded-data analysis, visualization, and test-vector generation.
  • Languages: Proficiency in low level C/C++ for embedded systems with the ability to write clean, well-tested, and efficient code.
  • Environments: Proven experience developing for one or more embedded processing architectures, such as microcontrollers, DSPs, SIMD/vector processors, or heterogeneous multicore SoCs.
  • Real-time optimization: Ability to profile and optimize the performance of signal processing algorithms to meet real-time software constraints and achieve optimal radar system performance.
  • Hardware: Ability to read schematics and bring-up new boards and processors, including bring-up peripherals/drivers and embedded code from scratch.
  • Communication protocols: Experience using standard device-to-device protocols (SPI, I2C) and GPIO to control/calibrate RF signal chains and interface with customer platforms.
  • Testing: Ability to debug, test and validate embedded software using functional tests, logic/protocol analyzers and lab tests to ensure the functionality of embedded software.
  • Execution: Strong grasp of full software development life cycle and ability to execute and thrive in a fast-paced, high-iteration environment, delivering frequent software updates with speed and precision.
  • Location: Ability to work 100% on-site at our headquarters in Huntington Beach, CA.

Preferred Qualifications
  • Radar systems: Experience developing signal processing pipelines for pulse-Doppler radar, phased-array radar, active electronically scanned array systems, radar seekers, counter-UAV sensors, or other RF sensing products.
  • Advanced processing: Experience with SIMD/vector programming, multicore processing, hardware accelerators, DMA-based data movement, cache optimization, or heterogeneous processing architectures.
  • Embedded platforms: Experience with real-time operating systems, bare-metal development, device drivers, board bring-up, and interfaces such as SPI, I2C, GPIO, Ethernet, or CSI-2.
  • Automation/scripting: Proficiency in Python or other high level language for data collection, analysis and presentation of system performance.
  • Test equipment: Experience using lab test equipment to test the performance of radar and RF sensing systems.
  • Compliance: Knowledge of military, aerospace, or safety-critical software standards (e.g., DO-178C, MISRA C, ASIL).

Disclosures
This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.
Mach participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offers may vary based on (but not limited to) work experience, education and training, critical skills, and business considerations. Highly competitive equity grants are included in most offers and are considered part of Mach's total compensation package. Mach offers benefits such as health insurance, retirement plans, and opportunities for professional development.
Mach is an equal opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws. If you'd like to defend the American way of life, please reach out!

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