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Cuda Remote Jobs (NOW HIRING)

Pragmatike

CUDA Kernel Engineer (Remote US)

Boston, NY · On-site +1

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

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

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 ...

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 ...

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189.80K/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 - $189.80K/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 ...

Danaher

Senior Software Engineer - USA Remote

OR · Remote

$122.40K - $161.30K/yr

This fully remote position is part of the Leica Microsystems Research and Development organization ... GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design;

Danaher

Senior Software Engineer - USA Remote

Raleigh, NC · Remote

$119.10K - $157K/yr

This fully remote position is part of the Leica Microsystems Research and Development organization ... GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design;

Danaher

Senior Software Engineer - USA Remote

Durham, NC · Remote

$118.40K - $156.10K/yr

This fully remote position is part of the Leica Microsystems Research and Development organization ... GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design;

Danaher

Senior Software Engineer - USA Remote

$125.40K - $165.30K/yr

This fully remote position is part of the Leica Microsystems Research and Development organization ... GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design;

Targeted Talent

Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/yr

Knowledge of CUDA/OpenGL * Experience deploying neural networks in production * Familiarity with model compression techniques like quantization, pruning, etc. These are permanent full time remote ...

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Cuda Remote information

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How much do cuda remote jobs pay per hour?

As of May 31, 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.

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 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.

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.

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:
What job categories do people searching Cuda Remote jobs look for? The top searched job categories for Cuda Remote jobs are:
Cuda Remote jobs near you
Infographic showing various Cuda Remote job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $81,860 per year, or $39.4 per hour.

CUDA Kernel Engineer (Remote US)

Pragmatike

Boston, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 25 days ago

Job description

Location: Remote US
Start date: ASAP
Languages: English (required)
About the Role
Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers.
We are searching for a CUDA Kernel Engineer who has hands-on experience developing and optimizing NVIDIA CUDA kernels from scratch. You will work on the GPU performance layer powering large-scale, high-throughput AI systems used by Fortune 500 customers.
This role is ideal for someone who deeply understands NVIDIA GPU architecture, memory hierarchy, warp-level execution, and profiling workflowsnot someone coming from generic hardware, FPGA, or non-NVIDIA compute backgrounds. You will directly influence the GPU efficiency, throughput, and scalability of mission-critical AI systems.
What Youll Do
  • Design, implement, and optimize custom CUDA kernels for NVIDIA GPUs, with a focus on maximizing occupancy, memory throughput, and warp efficiency.
  • Profile GPU workloads using tools such as Nsight Compute, Nsight Systems, nvprof, and CUDA-MEMCHECK.
  • Analyze and eliminate performance bottlenecks including warp divergence, uncoalesced memory access, register pressure, and PCIe transfer overhead.
  • Improve GPU memory pipelines (global, shared, L2, texture memory) and ensure proper memory coalescing.
  • Collaborate closely with AI systems, model acceleration, and backend distributed systems teams.
  • Contribute to GPU architecture decisions, kernel libraries, and internal performance-engineering best practices.

What Were Looking For
  • Proven track record building NVIDIA CUDA kernels from scratchnot just calling existing libraries.
  • Strong ability to optimize kernels (tiling strategies, occupancy tuning, shared memory design, warp scheduling).
  • Deep understanding of CUDA threads, warps, blocks, and grids, GPU memory hierarchy and memory coalescing, as well as warp divergence (how to detect, analyze, and mitigate it)
  • Experience diagnosing PCIe bottlenecks and optimizing host-device transfers (pinned memory, streams, batching, overlap).
  • Familiarity with C++, CUDA runtime APIs, and GPU debugging/profiling tooling.

Bonus Points
  • Experience with multi-GPU or distributed GPU systems (NCCL, NVLink, MIG).
  • Background in GPU acceleration for ML frameworks or HPC workloads.
  • Knowledge of model inference optimization (TensorRT, CUDA Graphs, CUTLASS).
  • Exposure to compiler-level optimization or PTX/SASS analysis.
  • Startup experience or comfort working in fast-moving, ambiguous environments.

Why This Role Will Pivot Your Career
  • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions.
  • Customer impact: Deploy AI solutions powering Fortune 500 clients.
  • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave).
  • Funding & growth: Oversubscribed seed round, next funding in 2026.
  • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale.
  • Culture & autonomy: Own critical systems while collaborating with world-class engineers.
  • Aspirational impact: Solve GPU/AI performance challenges few engineers ever face.

Benefits
  • Competitive salary & equity options
  • Sign-on bonus
  • Health, Dental, and Vision
  • 401k

Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

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