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Cuda Programmer Jobs (NOW HIRING)

Nvidia

Product Manager, CUDA-Q

Santa Clara, CA

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 ...

Nvidia

OR

$122.40K - $161.30K/yr

We are looking for a motivated Deep Learning engineer to bring advanced CUDA features and Distributed Runtime technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will ...

Nvidia

OR

NVIDIA seeks a Developer Relations Manager to lead our work in architecting impactful usage and adoption of our core CUDA Math Libraries. We are interested in finding a leader in high performance ...

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How much do cuda programmer jobs pay per hour?

As of May 29, 2026, the average hourly pay for cuda programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

What is a CUDA Programmer job?

A CUDA Programmer develops high-performance parallel computing applications using NVIDIA's CUDA (Compute Unified Device Architecture) framework. They optimize algorithms to run efficiently on GPUs, accelerating tasks such as machine learning, scientific simulations, and real-time data processing. This role requires proficiency in C/C++, an understanding of GPU architectures, and experience with parallel computing concepts to maximize performance.

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

To thrive as a Cuda Programmer, you need strong programming skills in C/C++ and parallel computing, with a solid understanding of GPU architectures and CUDA development. Familiarity with CUDA libraries, performance profiling tools, and platforms like NVIDIA Nsight or Visual Studio is often required, while certifications from NVIDIA can be advantageous. Problem-solving abilities, attention to detail, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can optimize complex algorithms, work efficiently on high-performance computing projects, and collaborate smoothly with multidisciplinary teams.

What are the most common challenges faced by Cuda Programmers in their daily work?

Cuda Programmers often encounter challenges related to optimizing code performance and efficiently managing memory on GPU architectures. Debugging and profiling can be complex, as issues may arise from both the code and hardware-specific elements, requiring close attention to parallelization and bottlenecks. Collaboration is key, as you’ll typically work closely with software engineers, data scientists, or researchers to integrate and optimize code for specialized workflows. Successfully navigating these challenges helps drive significant performance improvements and innovation in high-performance computing applications.
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Cuda Programmer jobs near you
Infographic showing various Cuda Programmer job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,234 per year, or $39.5 per hour.
Principal System Software Engineer - CUDA Driver

Principal System Software Engineer - CUDA Driver

Nvidia Corporation

Santa Clara, CA • On-site

$158.50K - $212.60K/yr

Full-time

Posted 19 days ago

Job description

We are hiring senior engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality!
CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, switches and the operating system.
What you'll be doing:
As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best Compute platform in the world. You will craft elegant solutions to exciting problems and craft the future direction of CUDA as you collaborate with your peers across NVIDIA.
  • You will evangelize, architect, and implement new CUDA features
  • You'll oversee and drive development efforts across multiple teams
  • Collaborate with members of hardware architecture teams
  • Help define forward-looking improvements to the CUDA APIs and programming model
  • Design 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)
  • 15+ years of relevant systems software development experience
  • Strong C programming skills
  • Experience designing, debugging, and maintaining complex software stacks
  • Background with operating system interfaces for threads, process control, and virtual memory
  • Experience with HW/SW co-design, perf. modeling using emulation/simulation, creating SW programming model exposures for HW features
  • Expert interpersonal, verbal, and written communications skills with a capability to achieve objectives under tight deadlines
  • Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment

Ways to stand out from the crowd:
  • You have an understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
  • Designing and implementing drivers programming rich HW acceleration engines and software verification testplans.
  • Knowledge of CPU, GPU architectures, memory coherence and consistency models
  • Some background with kernel mode development
  • Some familiarity with C++

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 17, 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

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