2

Cuda Remote Jobs (NOW HIRING)

Software Engineer

San Diego, CA · On-site +1

$87K - $157K/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.

US East/Canada (Remote) Role Overview: We are looking for a highly skilled Architect - Platform ... Enable and optimize the NVIDIA GPU stack (CUDA, cuDNN, NCCL, Triton, RAPIDS, etc.) * Collaborate ...

Software Engineer

Chula Vista, CA · On-site +1

$87K - $157K/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.

... CUDA kernel compilation to Kubernetes-orchestrated model serving on OpenShift. If you want to work ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

... CUDA kernel compilation to Kubernetes-orchestrated model serving on OpenShift. If you want to work ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

... CUDA kernel compilation to Kubernetes-orchestrated model serving on OpenShift. If you want to work ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Software Engineer

Cardiff By The Sea, CA · On-site +1

$87K - $157K/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.

Software Engineer

San Diego, CA · On-site +1

$87K - $157K/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.

Software Engineer

La Jolla, CA · On-site +1

$87K - $157K/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.

Software Engineer

Rancho Santa Fe, CA · On-site +1

$87K - $157K/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.

next page

Showing results 1-20

Cuda Remote information

See salary details

$14

$39

$85

How much do cuda remote jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for cuda remote in the United States is $39.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $57.45 per hour, depending on experience, location, and employer.

How can I make $100,000 a year working from home?

A remote CUDA-related role, such as a GPU programmer or data scientist, can potentially earn $100,000 annually by gaining specialized skills in parallel computing, deep learning, or AI, and obtaining relevant certifications. Building a strong portfolio, experience with tools like NVIDIA CUDA, and working for companies that offer high-paying remote positions are key factors in reaching this income level.

How to make $1000 a week remote?

To earn $1000 weekly as a remote worker, roles such as freelance software development, digital marketing, or consulting often pay this amount with consistent clients or projects. Building specialized skills, a strong portfolio, and reliable client relationships can help achieve this income level, especially in high-demand fields or with multiple income streams.

How much does a CUDA programmer make?

A CUDA programmer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $130,000 annually in the United States. Skilled programmers with expertise in parallel computing and GPU optimization can earn higher salaries, especially in tech and research sectors.

What are the key skills and qualifications needed to thrive as a CUDA Remote Developer, and why are they important?

To excel as a CUDA Remote Developer, you need strong programming skills in C/C++ and parallel computing concepts, typically supported by a degree in computer science or related field. Familiarity with NVIDIA CUDA Toolkit, GPU architectures, and related development environments is essential. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage remote work challenges. These competencies ensure efficient development of high-performance GPU-accelerated applications and productive teamwork in distributed settings.

What are some common challenges faced by Cuda Remote developers when working with distributed GPU workloads?

Cuda Remote developers often encounter challenges related to optimizing data transfer between remote devices, managing synchronization across distributed systems, and debugging performance issues that arise due to network latency. Collaborating with cross-functional teams, such as data scientists and DevOps engineers, is essential to ensure efficient GPU resource allocation and seamless integration with existing infrastructures. Staying up to date with the latest CUDA libraries and best practices is also important for overcoming these hurdles and delivering scalable, high-performance solutions.

What is the difference between Cuda Remote vs Data Analyst?

AspectCuda RemoteData Analyst
Required CredentialsTechnical certifications, remote work experienceDegree in statistics, data science, or related field
Work EnvironmentRemote, often project-basedOffice or remote, depending on employer
Industry UsageTech, finance, healthcareBusiness, marketing, finance
Common Search/ComparisonRemote tech rolesData analysis jobs

While Cuda Remote focuses on remote technical roles often involving CUDA programming, Data Analysts primarily analyze data to inform business decisions. Both roles may require analytical skills, but Cuda Remote emphasizes technical CUDA expertise in remote settings, whereas Data Analysts focus on data interpretation and visualization, often in office or hybrid environments.

What are CUDA Remote jobs?

CUDA Remote jobs are positions that focus on developing, optimizing, or supporting applications using NVIDIA's CUDA platform, which enables parallel computing on GPUs, and can be performed entirely from a remote location. These jobs typically involve programming in C, C++, or Python, and require knowledge of parallel computing concepts. Remote CUDA roles are common in industries like AI, scientific computing, data analytics, and graphics rendering, allowing professionals to collaborate with teams globally without needing to relocate.

How can I make 2000 a week working from home?

Earning $2000 a week working from home as a Cuda remote worker typically requires high-demand skills such as advanced programming, data analysis, or technical support, along with consistent project work or freelance contracts. Building a strong portfolio, gaining relevant certifications, and leveraging remote job platforms can help secure multiple projects or clients to reach this income level.
More about Cuda Remote jobs
What cities are hiring for Cuda Remote jobs? Cities with the most Cuda Remote job openings:
What are the most commonly searched types of Cuda jobs? The most popular types of Cuda jobs are:
What states have the most Cuda Remote jobs? States with the most job openings for Cuda Remote jobs include:
Infographic showing various Cuda Remote job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $81,860 per year, or $39.4 per hour.
Software Engineer

Software Engineer

Leidos

San Diego, CA • On-site, Remote

$87K - $157K/yr

Full-time

Posted 19 days ago


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

56th of 428 rated business services


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 6+ years of backend software development experience; or Master's with 4+ 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:January 21, 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 $87,100.00 - $157,450.00

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.


What Leidos employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Leidos logo

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

Social media