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Remote Cuda Developer Jobs (NOW HIRING)

PRAGMATIKE

CUDA Kernel Engineer

Atlanta, GA · Remote

Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... We are searching for a CUDA Kernel Engineer who has hands-on experience developing and optimizing ...

PRAGMATIKE

CUDA Kernel Engineer

Chicago, IL · Remote

Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... We are searching for a CUDA Kernel Engineer who has hands-on experience developing and optimizing ...

PRAGMATIKE

CUDA Kernel Engineer

Cambridge, MA · Remote

Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... We are searching for a CUDA Kernel Engineer who has hands-on experience developing and optimizing ...

PRAGMATIKE

CUDA Kernel Engineer

New York, NY · Remote

Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... We are searching for a CUDA Kernel Engineer who has hands-on experience developing and optimizing ...

PRAGMATIKE

CUDA Kernel Engineer

San Francisco, CA · Remote

Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... We are searching for a CUDA Kernel Engineer who has hands-on experience developing and optimizing ...

PRAGMATIKE

CUDA Kernel Engineer

Austin, TX · Remote

Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... We are searching for a CUDA Kernel Engineer who has hands-on experience developing and optimizing ...

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Proficient in GPU programming languages such as CUDA. * Strong understanding of computer ... A flexible and innovative remote work environment. * Room for continuous growth and development in ...

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Proficient in GPU programming languages such as CUDA. * Strong understanding of computer ... A flexible and innovative remote work environment. * Room for continuous growth and development in ...

Leidos

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.

Leidos

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.

Leidos

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.

Leidos

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.

Leidos

Software Engineer

El Cajon, 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.

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All JobsRemote Cuda Developer Jobs

Remote Cuda Developer information

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$83.5K

$102.5K

$135.5K

How much do remote cuda developer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote cuda developer in the United States is $102,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $115,000.00 per year, depending on experience, location, and employer.

How does a Remote CUDA Developer typically collaborate with team members across different locations?

As a Remote CUDA Developer, you will frequently collaborate with cross-functional teams such as data scientists, software engineers, and product managers through virtual meetings, code reviews, and collaborative platforms like GitHub or GitLab. Clear communication and thorough documentation are essential since team members may be in different time zones. You can expect to participate in regular stand-ups, sprint planning, and peer programming sessions, ensuring alignment and smooth integration of your GPU-accelerated code into larger projects. Tools like Slack, Zoom, and project management platforms help maintain connectivity and workflow efficiency.

What is a Remote CUDA Developer?

A Remote CUDA Developer is a software engineer who specializes in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to develop parallel computing applications, often for high-performance tasks like machine learning, scientific computing, or data analysis. They work remotely, collaborating with teams online rather than being physically present in an office. These developers write and optimize code to run efficiently on NVIDIA GPUs, enabling applications to process large amounts of data much faster than traditional CPU-only solutions.

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

To thrive as a Remote CUDA Developer, you need strong proficiency in C/C++ programming, parallel computing concepts, and a solid understanding of GPU architecture, typically backed by a degree in computer science or a related field. Experience with NVIDIA CUDA toolkit, GPU debugging tools, and version control systems like Git is commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication abilities help distinguish high performers in this role. These skills are vital for efficiently delivering high-performance computing solutions and collaborating seamlessly with distributed teams.

What is the difference between Remote Cuda Developer vs Remote Machine Learning Engineer?

AspectRemote Cuda DeveloperRemote Machine Learning Engineer
Required CredentialsCUDA programming certifications, computer science degreeMachine learning certifications, data science background
Work EnvironmentSoftware development, GPU optimizationModel development, data analysis
Industry UsageHigh-performance computing, gaming, AIAI, data science, predictive modeling

Remote Cuda Developers focus on GPU programming and optimization using CUDA, primarily in high-performance computing and AI applications. Remote Machine Learning Engineers develop and deploy machine learning models, often utilizing GPU resources but with a broader focus on data and algorithms. While both roles may involve GPU expertise, Cuda Developers specialize in low-level programming, whereas Machine Learning Engineers work on model development and deployment.

More about Remote Cuda Developer jobs
What cities are hiring for Remote Cuda Developer jobs? Cities with the most Remote Cuda Developer job openings:
What are the most commonly searched types of Cuda Developer jobs? The most popular types of Cuda Developer jobs are:
What states have the most Remote Cuda Developer jobs? States with the most job openings for Remote Cuda Developer jobs include:
What job categories do people searching Remote Cuda Developer jobs look for? The top searched job categories for Remote Cuda Developer jobs are:
Remote Cuda Developer jobs near you
Infographic showing various Remote Cuda Developer job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $102,500 per year, or $49.3 per hour.

CUDA Kernel Optimization Specialist

Mercor

San Francisco, CA • Remote

$80 - $120/hr

Full-time

Posted 9 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: CUDA Engineering Expert
Type: Contract
Compensation: $80–$120/hour
Location: Remote

Role Responsibilities

  • Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization.
  • Use profiler metrics like L2 cache hit rate, L2 throughput, and occupancy to guide kernel improvements.
  • Review GPU kernel implementations to identify bottlenecks without needing extensive algorithmic background.
  • Write, modify, and reason about C++17, Python, and GPU programming code.
  • Apply CUDA, HIP, and shader programming expertise to improve performance outcomes.
  • Document optimization decisions clearly, noting when specific profiler metrics are useful.

Qualifications

Must-Have

  • Available to work at least 20 hrs/wk.
  • Fluent in core C++ features through C++17.
  • Working knowledge of Python and Git.
  • Fluent in at least one GPU programming model like CUDA, HIP, Slang, HLSL, or GLSL.
  • At least 1 year of professional or graduate-level research experience with GPUs.
  • Strong understanding of GPU profiler performance metrics for kernel optimization.
  • Ability to optimize GPU kernels without deep prior context on every algorithm.

Preferred

  • Experience with CUDA, HIP, CUDA C++ Core Libraries, inline PTX assembly, or tensor core-level optimization.
  • Experience optimizing kernels for NVIDIA Blackwell hardware.
  • Familiarity with NSight Compute.
  • Prior experience with GPU hardware organizations like NVIDIA, AMD, or Qualcomm.
  • Open-source contributions related to GPU kernel optimization.

Application Process (Takes 20–30 mins to complete)

  • Submit your resume or relevant technical background to get started.
  • Qualified applicants may be asked to complete a brief technical assessment or submit additional information.

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.