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Cuda Programmer Jobs (NOW HIRING)

NVIDIA AI

Senior DL Compiler Engineer -CUDA Tile

Redmond, WA · On-site

$112K - $152K/yr

They are seeking a Senior DL Compiler Engineer for the CUDA Tile team, where the role involves designing and implementing compiler transformations and optimizing performance for tile-based kernels ...

MatchPoint Solutions

Embedded AI Engineer

Sunnyvale, CA · On-site

$156K - $206K/yr

Key Responsibilities: • Validate PyTorch-based LLMs on company-specific AI processors using CUDA ... with CUDA programming and PyTorch framework • In-depth knowledge of deep learning models ...

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How much do cuda programmer jobs pay per hour?

As of Jul 11, 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 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.

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 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.

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Cuda Programmer jobs near you
Infographic showing various Cuda Programmer job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 1% Part Time, 2% Temporary, 1% Contract, and 3% Nights. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $82,234 per year, or $39.5 per hour.
Senior Software Engineer - CUDA and Unified Memory

Senior Software Engineer - CUDA and Unified Memory

NVIDIA Corporation

Santa Clara, CA • On-site

$142K - $188K/yr

Other

Re-posted 4 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

We are hiring software 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, and the operating system. Unified Memory kernel driver provides kernel memory management that enables these advanced features.
What you'll be doing:
As a member of our team, you will apply your design, coding expertise , and creativity, and to collaborate with peers across NVIDIA to deliver upon the best compute platform in the world. You will craft sophisticated solutions to exciting problems shaping the future direction of CUDA!
  • Architect, and implement new features for new chips and new kernel features
  • Coordinate with other teams to accomplish your work daily
  • Help define forward-looking improvements to the CUDA APIs and programming model
  • Write effective, maintainable, and well-tested kernel and userspace code
  • Develop code for multiple Linux operating systems
What we need to see:
  • BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)
  • Strong C programming skills
  • Minimum of 10+ years of related development experience
  • Experience working with large codebases
  • Background with operating system interfaces for threads, process control, and virtual memory
  • Experience writing and debugging multithreaded programs
  • Good written communication
Ways to stand out from the crowd:
  • Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
  • Knowledge of memory coherence and consistency models
  • Experience with kernel mode development
  • Experience with Windows, Linux, or macOS driver development
  • Some familiarity w C++
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 July 1, 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.

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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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