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Cuda Developer Jobs (NOW HIRING)

We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models ...

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 ...

OR

$122K - $161K/yr

We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models ...

OR ยท On-site

CUDA-Q is the open-source programming framework bridging classical accelerated computing and quantum processors, to enable fault-tolerant quantum-GPU supercomputing. This role sits where quantum ...

Senior DL Compiler Engineer- CUDA Tile

Santa Clara, CA ยท On-site

$142K - $188K/yr

We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models ...

Senior DL Compiler Engineer- CUDA Tile

Redmond, WA ยท On-site

$137K - $180K/yr

We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models ...

CUDA-Q is the open-source programming framework bridging classical accelerated computing and quantum processors, to enable fault-tolerant quantum-GPU supercomputing. This role sits where quantum ...

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Cuda Developer information

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$48K

$111.8K

$166K

How much do cuda developer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for cuda developer in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Cuda Developers in their daily work?

Cuda Developers often encounter challenges related to optimizing code for maximum performance while managing the unique memory hierarchies and parallel processing features of GPU architectures. Debugging and profiling GPU code can be more complex than standard CPU programming, requiring specialized tools and a strong understanding of concurrency. Collaboration with data scientists, machine learning engineers, and software architects is common, as Cuda Developers often integrate their code into larger, multi-disciplinary projects. These challenges make the role both stimulating and rewarding for those who enjoy solving intricate computational problems.

What are the key skills and qualifications needed to thrive in the Cuda Developer position, and why are they important?

To thrive as a Cuda Developer, you need strong proficiency in C/C++ programming, parallel computing concepts, and hands-on experience with NVIDIA CUDA architecture. Familiarity with GPU development tools such as NVIDIA Nsight, CUDA Toolkit, and relevant certifications can further validate your expertise. Problem-solving skills, attention to detail, and effective collaboration are valuable soft skills in this position. These capabilities are crucial for efficiently developing, debugging, and optimizing high-performance GPU-accelerated applications in demanding computational environments.

What is a Cuda Developer job?

A CUDA Developer is a software engineer who specializes in programming using NVIDIA's CUDA (Compute Unified Device Architecture) platform. They leverage parallel computing to optimize and accelerate applications, mainly in fields like AI, scientific computing, and high-performance computing. Their responsibilities often include writing GPU-accelerated code, optimizing performance, and working with frameworks like TensorFlow or PyTorch.

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Senior Software Engineer - CUDA Driver

Senior Software Engineer - CUDA Driver

Nvidia Corporation

Santa Clara, CA โ€ข On-site

$143K - $189K/yr

Full-time

Posted 11 days ago


Job description

NVIDIA is seeking outstanding senior engineers to work on the CUDA driver, a key component of accelerated GPU computing. You will join a versatile software engineering team that delivers innovative software features to unlock the full potential and performance of NVIDIA hardware across diverse workloads like deep learning, scientific research, autonomous vehicles, gaming, and virtual reality. This multi-functional role requires collaboration with hardware architects, deep learning specialists, and both internal and external partners to advance the CUDA architecture. With the opportunity to collaborate with teams across the whole NVIDIA computing stack, you will help design software solutions across kernel mode components, compilers, and networking software.
Your system-level expertise and creativity in solving complex problems will help invent the future of CUDA and NVIDIA's compute technologies! Does crafting solutions to influence the evolution of GPU-accelerated computing sound exciting? If so, we invite you to join us and help engineer the next wave of innovation at NVIDIA!
What you'll be doing:
  • Evangelize, architect, and implement new CUDA features
  • Coordinate and drive development efforts across multiple teams
  • Collaborate with members of hardware architecture teams
  • Define forward-looking improvements to the CUDA APIs and programming model
  • Build and maintain performance and precision modeling
  • Write effective, maintainable, and well-tested code
  • Develop code for multiple operating systems

What we need to see:
  • Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
  • 5+ years of relevant experience in developing systems software
  • Strong C programming skills
  • Experience designing, debugging, and maintaining complex software stacks
  • Experience with operating system interfaces for threads, process control, and virtual memory
  • Experience with HW/SW co-design, performance modeling using emulation/simulation, and developing SW programming model exposures for HW features
  • Understanding of system-level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
  • Strong interpersonal, verbal, and written communication skills with a capability to achieve objectives under tight time constraints

Ways to stand out from the crowd:
  • Prior experience with parallel computing - preferably writing CUDA programs or libraries that use CUDA
  • Knowledge of memory coherence and consistency models
  • Background with kernel mode development
  • Experience with Linux systems software development as well as experience maintaining and extending programming models or higher-level language support for similar environments
  • Familiarity with distributed system and training/inference patterns (data/model/pipeline parallelism) and deep learning frameworks

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 14, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.

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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