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Remote High Performance Computing Engineer Jobs (NOW HIRING)

A5 Labs

$143K - $189K/yr

... and high-performance computing. • Stay at the forefront of technological advancements to ... asynchronous programming, threading, and concurrency. • Expert knowledge in system design ...

Leidos

Software Engineer

San Diego, CA · On-site +1

$87K - $157K/yr

Our San Diego research and engineering team tackles some of the most complex challenges in national defense using advanced signal processing, ocean remote sensing, and high-performance computing . We ...

QCi

Job Title Solutions Sales Engineer Location: Hoboken, NJ or Remote with Travel Division : Revenue ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

QCi

Job Title Solutions Sales Engineer Location: Hoboken, NJ or Remote with Travel Division : Revenue ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

IonQ

Director, Quantum Finance Engineering

$187K - $245K/yr

... high performance computing, circuit compilation and optimization, error correction and quantum ... remote in the US. Travel: Up to 30% Job ID: 1173 The approximate base salary range for this ...

Quilter

Senior/Staff Software Engineer (C++)

$180K - $200K/yr

Our small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC). We are inventing and leveraging novel techniques to solve the ...

Leidos

Software Engineer

Cardiff By The Sea, CA · On-site +1

$87K - $157K/yr

Our San Diego research and engineering team tackles some of the most complex challenges in national defense using advanced signal processing, ocean remote sensing, and high-performance computing . We ...

Leidos

Software Engineer

La Jolla, CA · On-site +1

$87K - $157K/yr

Our San Diego research and engineering team tackles some of the most complex challenges in national defense using advanced signal processing, ocean remote sensing, and high-performance computing . We ...

Leidos

Software Engineer

San Diego, CA · On-site +1

$87K - $157K/yr

Our San Diego research and engineering team tackles some of the most complex challenges in national defense using advanced signal processing, ocean remote sensing, and high-performance computing . We ...

Leidos

Software Engineer

Rancho Santa Fe, CA · On-site +1

$87K - $157K/yr

Our San Diego research and engineering team tackles some of the most complex challenges in national defense using advanced signal processing, ocean remote sensing, and high-performance computing . We ...

Leidos

Software Engineer

El Cajon, CA · On-site +1

$87K - $157K/yr

Our San Diego research and engineering team tackles some of the most complex challenges in national defense using advanced signal processing, ocean remote sensing, and high-performance computing . We ...

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

As of Jun 8, 2026, the average hourly pay for remote high performance computing engineer in the United States is $60.11, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.03 per hour, depending on experience, location, and employer.

What are some common challenges faced by Remote High Performance Computing Engineers and how can they be addressed?

Remote High Performance Computing (HPC) Engineers often encounter challenges related to managing complex distributed systems and ensuring efficient communication with geographically dispersed teams. Troubleshooting hardware and software issues from afar can require creative problem-solving and strong documentation skills. Additionally, maintaining security and data integrity across remote HPC clusters is critical. Regular virtual meetings, clear documentation practices, and leveraging remote monitoring tools can help address these challenges and foster effective collaboration within the team.

What is a Remote High Performance Computing Engineer?

A Remote High Performance Computing (HPC) Engineer is a technology professional who designs, configures, maintains, and troubleshoots advanced computing systems and clusters, often from a remote location. These engineers focus on optimizing hardware and software to achieve maximum computational efficiency for tasks such as scientific simulations, big data analysis, and machine learning. They collaborate with researchers, developers, and IT teams to ensure seamless operation of HPC resources, frequently utilizing cloud-based or distributed infrastructure. Remote HPC Engineers need strong skills in Linux administration, programming, networking, and parallel computing frameworks.

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

AspectRemote High Performance Computing EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience with HPC systemsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in programming and analytics
Work EnvironmentDesigning, optimizing, and maintaining HPC systems remotely for scientific or engineering tasksAnalyzing large datasets, building models, and generating insights remotely for various industries
Employer & Industry UsageTech companies, research institutions, engineering firms using HPC clustersTech, finance, healthcare, and research organizations leveraging data analytics

While both roles often require strong programming skills and familiarity with cloud or remote systems, the HPC Engineer focuses on maintaining and optimizing high-performance computing infrastructure, whereas the Data Scientist emphasizes data analysis and modeling. Their work environments overlap in remote settings, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Remote High Performance Computing Engineer, and why are they important?

To excel as a Remote High Performance Computing (HPC) Engineer, you need a solid background in computer science or engineering, with expertise in parallel programming, distributed systems, and HPC architectures. Proficiency in using tools such as MPI, OpenMP, SLURM, Linux environments, and experience with cloud-based or on-premises supercomputing systems is crucial, often supported by relevant certifications. Strong problem-solving, communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting complex issues. These skills and qualities are vital for optimizing computational performance, supporting scientific research, and ensuring seamless remote teamwork in HPC environments.
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Remote High Performance Computing Engineer jobs near you
Infographic showing various Remote High Performance Computing Engineer job openings in the United States as of May 2026, with employment types broken down into 61% Full Time, and 39% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $125,019 per year, or $60.1 per hour.

Senior / Staff Software Engineer, High-Performance Onboard Algorithms

Waabi

San Francisco, CA • On-site, Remote

$148K - $260K/yr

Full-time

Posted 14 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Software Engineer in High-Performance Onboard Algorithms, you will be a key contributor to the development and optimization of our real-time signal processing pipeline for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and others) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation.

You will…

- Be part of a multidisciplinary team of Engineers and Scientists working on building a best-in-class, high-performance sensor processing stack.

- Design, implement, and optimize highly efficient algorithms for sensor data acquisition, processing, fusion, and filtering, ensuring real-time performance on target hardware.

- Work on shipping next-generation signal processing software, leveraging parallel computing architectures (e.g., CPU, GPU, specialized accelerators) and low-level system programming.

- Collaborate with Waabi’s autonomy and hardware teams to ensure the efficiency and robustness of the entire system.

Qualifications:

- Fundamentals of computer architecture. You have a deep understanding of how modern computer systems work (multi-core, vector units, cache management, memory hierarchy, networking).

- Data-parallel algorithms. You have experience implementing data-parallel and compute-intensive algorithms in domains such as image/video processing, compression, and optimizing modern neural networks.

- Heterogeneous computing and systems programming. You are comfortable with balancing workloads across multiple different processors, managing the ownership and movement of data buffers, and optimizing for overall system performance.

- Performance profiling and optimization. You know how to identify bottlenecks in a complex codebase and make optimization decisions that have lasting impact.

- Shipping Production Software. You have experience in reading and developing production quality software. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust and a variety of DSLs).

Bonus:

- Experience with accelerated computing like CUDA, Vulkan, and OpenCL.

- Experience with domain specific languages such as Halide, Taichi, Mojo, or Warp.

- Experience with CPU intrinsics (SSE/AVX, NEON/SVE).

- Experience with embedded systems.

- Shipped production software in one or more of the following areas: image and video processing, compression, streaming algorithms, deep learning, geometry processing.

- Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology.

The US yearly salary range for this role is: $148,000 - $260,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.