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Cuda Developer Jobs (NOW HIRING)

Nvidia

Senior DL Compiler Engineer -CUDA Tile

Austin, TX

$121K - $160K/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 ...

Nvidia

Senior DL Compiler Engineer- CUDA Tile

Austin, TX · On-site

$121K - $160K/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 ...

Nvidia

Senior DL Compiler Engineer -CUDA Tile

Santa Clara, CA · On-site

$143K - $189K/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 ...

Nvidia

OR · On-site

$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 ...

Nvidia

Senior DL Compiler Engineer -CUDA Tile

Redmond, WA

$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 ...

Nvidia

Senior DL Compiler Engineer- CUDA Tile

Redmond, WA

$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 ...

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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 30, 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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Cuda Developer jobs near you
Infographic showing various Cuda Developer job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 21% Full Time, 11% Part Time, 2% Temporary, and 65% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $111,845 per year, or $53.8 per hour.
Senior System Software Engineer - CUDA Chips

Senior System Software Engineer - CUDA Chips

Nvidia

Santa Clara, CA

$143K - $189K/yr

Full-time

Posted 5 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 across deep learning, scientific computation, and self-driving cars, video games and virtual reality.

CUDA helps define a unified programming model across a range of system configurations and hardware capabilities accomplished through CUDA driver interaction with GPU hardware, kernel mode drivers, and the operating system. This role incorporates strong system software programming skills, a detailed understanding of operating systems and kernel programming, hardware architecture, as well as excellent communication and planning skills. You will work closely with both hardware engineers and other software engineers to craft, develop, debug and deploy many functional aspects of NVIDIA hardware and mobile system-on-chip (SOC) devices!

What you'll be doing:

You can expect be heavily involved through all aspects of development of our world-class products, ranging up front from design feedback, early modeling, simulation of hardware in pre-silicon environments, all the way through to early silicon bringup and final feature deployment in production software ultimately delivered to end users. You should be eager to learn about, and contribute to, the design of new compute and graphics drivers and new GPU architectures!

In this role, you will:

  • Develop Software on Pre-Si environments(Simulation/Emulation)

  • Own and drive CUDA enablement for new Silicon and Architecture

  • Work with SW, HW and relevant teams to develop, stabilize and productize CUDA features for new chips and systems

  • Promote, architect, and implement new features, as well as own contribution to bring up of CUDA on new chips

  • Help define forward-looking improvements to the CUDA APIs and programming model, while driving development efforts across multiple teams

  • Write effective, maintainable, and well-tested code

  • Developing code for multiple operating systems

What we need to see:

  • BS or MS degree in Computer Engineering, Computer Science, Electrical Engineering or equivalent experience

  • 5+ years of relevant systems software development experience

  • Strong C programming skills, knowledge of parallel programming

  • Excellent knowledge of computer system architectures

  • Experience with operating system interfaces for threads, process control, and virtual memory

  • Experience writing and debugging multithreaded programs

  • Background with working with large codebases

  • Deep understanding of technology and passionate about what you do

  • Good written communication as well as strong collaborative skills and ability to effectively guide and influence across groups

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

  • Background with kernel mode development

  • Experience with Windows, Linux, or macOS driver development

  • Some familiarity with C++, CUDA experience

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 March 30, 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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