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Internship High Performance Computing Engineer Jobs in Tacoma, WA

SpaceXAI

Software Engineer - Network (C++)

Seattle, WA

$180K - $440K/yr

Our team is small, highly motivated, and focused on engineering excellence. This organization is ... Background in real-time systems, high-performance computing, low-latency networking, or resource ...

Nvidia

Senior GPU Memory Architect

Seattle, WA · On-site

NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high-performance computing technology, with aggressive plans for future processors. This position offers the ...

Oracle

Principal Engineer - AI Networking

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a hands-on engineering role requiring deep technical expertise, strong software development ... Familiarity with large-scale GPU clusters and high-performance computing environments. * Experience ...

Apple

System Software Engineer

Seattle, WA

$175K - $263K/yr

  • Medical

  • Dental

  • Retirement

... and high performance computing workloads. You will be part of a team that builds and maintains ... We are seeking a skilled Software Engineer to join our System Software Team focused on optimizing ...

Apple

System Software Engineer

Seattle, WA

$142K - $263K/yr

  • Medical

  • Dental

  • Retirement

... and high performance computing workloads. You will be part of a team that builds and maintains ... We are seeking a skilled Software Engineer to join our System Software Team focused on optimizing ...

Designworks Talent

Data Center Network Engineer

Bellevue, WA · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

Data Center Network Engineer Location: Hybrid | Bellevue, WA Area Titles: Staff and Principal ... Experience supporting GPU clusters, AI infrastructure, high-performance computing (HPC), or large ...

Apple

Software Engineer, System Services

Seattle, WA

$175K - $263K/yr

  • Medical

  • Dental

  • Retirement

The Apple Cloud Engineering team is looking for an exceptional software engineer to build and ... and high performance computing workloads. You will be part of a team that builds and maintains ...

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Internship High Performance Computing Engineer information

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

As of Aug 15, 2026, the average hourly pay for internship high performance computing engineer in Tacoma, WA is $64.55, according to ZipRecruiter salary data. Most workers in this role earn between $52.93 and $73.08 per hour, depending on experience, location, and employer.

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 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 Tacoma, WA?

The most popular types of High Performance Computing Engineer jobs in Tacoma, WA are:

What job categories do people searching Internship High Performance Computing Engineer jobs in Tacoma, WA look for?

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

What cities near Tacoma, WA are hiring for Internship High Performance Computing Engineer jobs?

Cities near Tacoma, WA with the most Internship High Performance Computing Engineer job openings:

Internship High Performance Computing Engineer jobs near you

Engineering Manager, Onboard Execution Performance

Zoox

Seattle, WA

$245K - $307K/yr

Full-time

Medical, Life, PTO

Re-posted yesterday

Job description

Zoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels. 


The Software Performance team keeps the main onboard computer healthy and performant to ensure that our on-bot autonomy software meets its latency targets while also accommodating its safety goals. We are responsible for the efficient allocation of onboard compute resources (CPU/GPU/Memory/accelerators) ensuring contention is minimized and the autonomy stack executes harmoniously.


As the Onboard Execution team leader within the Performance team,  you will lead a highly specialized team of software performance engineers in aggressively optimizing on-bot software runtime. This is a high impact role that sits at the intersection of ML Platform, Core, and Autonomy Software - ensuring that efficient compute utilization is a central tenet emphasized across the organization. 

 
In this role, you will:
  • Manage a team of 8-to-10 engineers focused on optimizing the software performance of the on-bot autonomy software stack.
  • Partner with Autonomy, ML Platform, Middleware, Sensors, and Hardware Architecture teams to meet strict system response (latency) and compute utilization targets.
  • Achieve alignment between cross-functional leaders across the Software organization on compute resource allocations and budgets.
  • Hire, grow, and develop talent in the realm of performance optimization.
  • Build self-service force-multiplier frameworks & workflows that empower developers to deliver efficient & performant software.
Qualifications
  • BS in computer science, computer engineering, or related field
  • Proficiency with C++ & concurrent (parallel) execution systems
  • Deep knowledge and understanding of the Linux operating system and GPU accelerated execution
  • Proven track record of cross-functional collaboration and leadership alignment
  • Prior experience managing teams of five or more full-time software engineers
Bonus Qualifications
  • Hands-on experience with GPU runtime frameworks (CUDA, TensorRT, or XLA)
  • Experience in robotics, aviation, automotive, or high-performance computing space
  • Have shipped real-time or near-real-time software autonomy or robotics software in production
  • Experiencing debugging and optimizing CPU, GPU kernels, and ML models using tools like NVIDIA Nsight Systems and
  • Compute, Perfetto or similar compute observability tools 
$245,000 - $307,000 a year
Base Salary Range
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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