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Cuda Programming Jobs (NOW HIRING)

Nvidia

OR · On-site

$122K - $161K/yr

Strong programming skills in C++. * Existing knowledge of GPU hardware and/or motivated to learn to ... Expertise in CUDA kernel programming and profiling. * Outstanding interpersonal skills and the ...

MatchPoint Solutions

Embedded AI Engineer

Sunnyvale, CA · On-site

$156K - $206K/yr

... with CUDA programming and PyTorch framework • In-depth knowledge of deep learning models, particularly Large Language Models (LLMs) • Proficiency in C++ and Python programming languages • ...

Genmo

GPU Performance Engineer

San Francisco, CA · On-site

Strong CUDA programming skills with production kernel development * Deep understanding of GPU architecture (memory hierarchy, SMs, warps) * Track record of achieving significant performance ...

Genmo

GPU Performance Engineer

San Francisco, CA · On-site

Strong CUDA programming skills with production kernel development * Deep understanding of GPU architecture (memory hierarchy, SMs, warps) * Track record of achieving significant performance ...

PRAGMATIKE

CUDA Kernel Engineer

Atlanta, GA · Remote

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 ...

PRAGMATIKE

CUDA Kernel Engineer

Chicago, IL · Remote

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 ...

PRAGMATIKE

CUDA Kernel Engineer

Austin, TX · Remote

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 ...

PRAGMATIKE

CUDA Kernel Engineer

New York, NY · Remote

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 ...

PRAGMATIKE

CUDA Kernel Engineer

Cambridge, MA · Remote

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 ...

PRAGMATIKE

CUDA Kernel Engineer

San Francisco, CA · Remote

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 ...

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How much do cuda programming jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for cuda programming in the United States is $54.36, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $63.46 per hour, depending on experience, location, and employer.

What is the difference between Cuda Programming vs GPU Developer?

AspectCuda ProgrammingGPU Developer
Required CredentialsKnowledge of CUDA, C/C++, parallel computingKnowledge of GPU architecture, CUDA, OpenCL, C/C++
Work EnvironmentHigh-performance computing, scientific research, AIGraphics, gaming, scientific visualization, AI
Industry UsageTech companies, research labs, AI firmsGaming, entertainment, tech, research

While Cuda Programming focuses specifically on writing code using NVIDIA's CUDA platform for parallel processing, GPU Developers have a broader role that includes designing, optimizing, and implementing GPU-based solutions across various platforms and technologies. Both roles require knowledge of GPU architecture and programming languages like C/C++, but GPU Developers often work on a wider range of applications beyond CUDA-specific projects.

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Cuda Programming jobs near you
Infographic showing various Cuda Programming job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $113,061 per year, or $54.4 per hour.
Senior Software Engineer, CUDA Core Libraries

Senior Software Engineer, CUDA Core Libraries

Nvidia Corporation

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Posted 29 days ago

Job description

NVIDIA's accelerated computing platform is the foundation of modern HPC and AI.At the core of this platform are the CUDA Core Libraries. C++ and Python libraries that enable developers to write fast, reliable, and scalable GPU-accelerated software! We are hiring a full-time Software Engineer to work on the CUDA Core Libraries that power GPU computing for both C++ and Python developers. This includes projects such as CCCL (Thrust, CUB, libcudacxx), cuda-python, and numba-cuda. You will join the team building the foundational libraries, algorithms, and language/runtime infrastructure that make CUDA a speed-of-light experience for developers across deep learning, scientific computing, and data analytics!
What you'll be doing:
  • Develop and implement CUDA Core Libraries in C++ and/or Python, including parallel algorithms and idiomatic language bindings for core CUDA functionality.
  • Compose, optimize, and evolve GPU algorithms and APIs, from high-level interfaces down to low-level performance tuning involving memory, parallelism, and synchronization.
  • Own features end-to-end: develop, implementation, testing, benchmarking, documentation, and long-term maintenance.
  • Improve developer experience across the stack: CI, tests, benchmarks, packaging, examples, and docs.
  • Collaborate with senior CUDA engineers in design reviews, code reviews, and open-source-style workflows.
  • Engage with real users through issues, performance investigations, and API feedback.

What we need to see:
  • BS, MS, or PhD in Computer Science, Computer Engineering, or a related field or equivalent experience.
  • Minimum of 8+ years of related development experience
  • Strong programming skills in C++, Python, or both, with proven interest in systems-level software (performance, memory, concurrency, API design).
  • Solid understanding of modern C++ (templates, generics, standard library) and/or Python library development and packaging.
  • Practical experience with parallel or heterogeneous programming (CUDA, OpenMP, GPU-accelerated Python, or similar).
  • Experience contributing to production software or open-source libraries, including testing, profiling, and code review.
  • Ability to work independently, scope problems, and drive projects to completion.
  • Clear written communication for technical design and documentation.
  • Comfort navigating large, multi-language codebases (C++, Python, CMake, Pixi, CI systems).

Ways to stand out from the crowd:
  • Strong understanding of CPU/GPU architecture and how hardware details affect performance.
  • Hands-on experience with CUDA C++, CUDA Python, PyTorch, JAX, Numba, CuPy, or similar GPU-accelerated stacks.
  • Familiarity with Thrust, CUB, libcudacxx, or other modern C++/GPU libraries.
  • Experience with compiler infrastructure or tooling (LLVM, Clang tooling, MLIR).
  • Demonstrated interest in developer tools, library design, and making other developers faster.

If you care deeply about performance, enjoy working at the C++/Python boundary, and want to shape the core CUDA libraries relied on by thousands of developers, this role is a direct fit.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 5, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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