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Remote Software Engineer Gpu Jobs (NOW HIRING)

Software Engineer

San Diego, CA · On-site +1

$69K - $125K/yr

... ocean remote sensing, and high-performance computing . We're looking for a Software Engineer ... Translate and enhance existing code for GPU/CUDA acceleration and parallel/distributed execution.

... a single GPU to multi-region GPU clusters in the cloud * Automate data ingest and feature ... Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence

Senior Software Engineer - Topography

Santa Clara, CA · Remote

$143K - $189K/yr

Experience with GPU clusters, NVLink, InfiniBand, Ethernet fabrics, or HPC. * Hands-on work with ... If you're a creative, curious, and driven technical leader, we want to hear from you! #LI-Remote ...

GoLang, Sr Engineer

Monett, MO · On-site +1

$60 - $75/hr

Senior Go Software Engineer Contract (W2) Location: Remote (must be within 70 miles of Allen, TX, Birmingham, AL, Cedar Falls, IA, Charlotte, NC, Lenexa, KS, Louisville, KY, Monett, MO, or ...

Principal Software Engineer, Performance

$138K - $185K/yr

CPU and GPU fleet utilization, backend service efficiency, end-to-end request latency, storage, ML ... This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or ...

About the role We're looking for a Senior Software Engineer to join our platform team during an ... Develop and maintain infrastructure for GPU node configuration, including drivers and firmware

Sr. Embedded Software Engineer

$126K - $166K/yr

Remote Compensation : $100,000 - $130,000 + Bonus Eligible Who we are: Lynx delivers modular, open ... AI : LYNX MOSA.ic.AI is a unified CPU and GPU software platform that enables deterministic ...

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Your expertise in GPU computing, performance optimization, and parallel programming will be ... A flexible and innovative remote work environment. * Room for continuous growth and development in ...

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Remote Software Engineer Gpu information

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$63.5K

$147.5K

$205.5K

How much do remote software engineer gpu jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote software engineer gpu in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Software Engineer Gpu vs Remote Software Engineer?

AspectRemote Software Engineer GpuRemote Software Engineer
Required CredentialsBachelor's in CS, experience with GPU programming (CUDA, OpenCL)Bachelor's in CS or related, general programming skills
Work EnvironmentCollaborates with AI, graphics, or high-performance computing teamsWorks on diverse software projects across industries
Industry UsageTech, gaming, AI, scientific computingTech, finance, healthcare, startups

The main difference is that Remote Software Engineer Gpu specializes in GPU programming and high-performance computing, while a Remote Software Engineer has a broader focus on general software development across various domains. GPU roles require specific knowledge of GPU architectures and parallel processing, whereas general software engineers work on a wider range of applications.

More about Remote Software Engineer Gpu jobs
What cities are hiring for Remote Software Engineer Gpu jobs? Cities with the most Remote Software Engineer Gpu job openings:
What are the most commonly searched types of Software Engineer Gpu jobs? The most popular types of Software Engineer Gpu jobs are:
What states have the most Remote Software Engineer Gpu jobs? States with the most job openings for Remote Software Engineer Gpu jobs include:
Software Engineer

Software Engineer

Leidos

San Diego, CA • On-site, Remote

$69K - $125K/yr

Full-time

Posted 10 days ago


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

56th of 449 rated business services


Job description

Job Description

Unleash your curiosity. Solve what others can't.
At Leidos, we're not just writing code-we're decoding the unknown. 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're looking for a Software Engineer / Computer Scientist who thrives on solving hard problems and pushing the boundaries of performance. You'll join a cross-disciplinary team of scientists and engineers-experts in hydrodynamics, physics, acoustics, and signal processing-to build high-impact software that extracts meaning from massive, complex data sets.

If you're driven by innovation, energized by collaboration, and ready to see your algorithms power real-world missions-you belong here.

What You'll Do

  • Collaborate with scientists and engineers to design, implement, and optimize advanced algorithms that power next-generation radar, optical, and infrared sensor systems.

  • Engineer high-performance backend systems for scientific computing and distributed environments.

  • Integrate, refactor, and optimize scientific codebases, ensuring scalability and efficiency.

  • Translate and enhance existing code for GPU/CUDA acceleration and parallel/distributed execution.

  • Test, document, and evolve complex software in a Linux/Unix environment.

  • Work in a collaborative environment that values technical rigor, creativity, and growth.

Required Qualifications

  • Bachelor's degree in Computer Science, Applied Mathematics, Physics, or related field with 4+ years of backend software development experience; or Master's with 2+ years. Equivalent experience may be considered in lieu of degree.

  • U.S. citizenship and ability to obtain a Top Secret clearance (active TS preferred).

  • Demonstrated expertise in C/C++ backend software development, including large-scale, performance-critical applications.

  • Proven experience with high-performance computing, parallel/distributed processing, and standards such as MPI.

  • Hands-on experience with GPU/CUDA programming and optimization.

  • Experience with AI/ML and LLM concepts and algorithms

  • Strong foundation in advanced mathematics or physics, with the ability to translate theory into functional code.

  • Proficiency in Linux/Unix development environments.

  • Familiarity with scientific programming, algorithm implementation, and system-level problem-solving.

  • Strong understanding of software engineering principles and best practices.

  • Excellent written and verbal communication and software documentation skills.

Preferred Qualifications

  • Active Top Secret clearance

  • Familiarity with Agile development, object-oriented design, and modern software architecture.

  • Experience with Git, GitLab, MATLAB, and Fortran.

  • Knowledge of multi-threaded or shared-memory applications.

Why Leidos?

You'll be part of a team that:

  • Combines science, technology, and imagination to solve real-world defense challenges.

  • Values your curiosity as much as your technical ability.

  • Invests in your professional growth through mentorship and hands-on innovation.

At Leidos, your code doesn't just run-it defends, detects, and delivers.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:July 6, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $69,550.00 - $125,725.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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