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Professional Cuda Jobs (NOW HIRING)

Nvidia

OR

$122K - $161K/yr

We are looking for a seasoned software professional to work on the CUDA Driver, a core component of our platform for accelerating general purpose computation on the GPU. You will be an integral part ...

Micron

Systems Software Engineer, (Linux, CUDA)

Richardson, TX · On-site

$157K - $186K/yr

Experience with GPU programming and runtimes (e.g., CUDA, SYCL, OpenCL, PyTorch) and familiarity ... professional growth. Micron benefits are designed to help you stay well, provide peace of mind and ...

BAE Systems

Eng Sr Prin II - SW

Merrimack, NH · On-site

$146K - $249K/yr

... professional software development * Expert-level proficiency in C++11 (or later) with a strong emphasis on performance optimization and parallel programming.** * Expert-level experience with CUDA ...

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Professional Cuda information

What is the difference between Professional Cuda vs Cuda Developer?

AspectProfessional CudaCuda Developer
Required CredentialsTypically requires a degree in Computer Science or related field, with certifications in CUDA programmingOften requires similar degrees and certifications, focusing on CUDA expertise
Work EnvironmentWorks in research labs, tech companies, or industries utilizing GPU computingWorks in software development teams, research, or hardware optimization projects
Industry UsageUsed across high-performance computing, AI, and scientific research sectorsCommonly employed in software development, gaming, and simulation industries

Both roles involve CUDA programming, but a Professional Cuda typically emphasizes advanced GPU computing skills in research or industry applications, while a Cuda Developer focuses on software development and optimization using CUDA technology. The roles often overlap, but the Professional Cuda may have a broader scope in high-performance computing projects.

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Infographic showing various Professional Cuda job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Temporary. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution.
Senior Systems Software Engineer, CUDA Driver - Multi-Node and Memory Model

Senior Systems Software Engineer, CUDA Driver - Multi-Node and Memory Model

Nvidia

Santa Clara, CA

$143K - $189K/yr

Full-time

Posted 24 days ago

Job description

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We're looking to grow our company, and form teams with the smartest people in the world. Join us at the forefront of technological advancement.

Are you a motivated system software engineer with a deep understanding of device drivers, memory coherency & consistency models, phenomenal C/C++ skills, and an interest in multi-node scalability? If so, this role might be for you. We are looking for a seasoned software professional to work on the CUDA Driver, a core component of our platform for accelerating general purpose computation on the GPU. You will be an integral part of a team that 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, data science and self-driving cars to video games and virtual reality.

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 shape the future direction of CUDA as you collaborate with your peers across NVIDIA.

  • Evangelize, architect, and implement new features related to CUDA's memory model and multi-node scalability geared towards next-gen AI applications and deployments

  • Coordinate and drive development efforts across multiple teams

  • Help define forward-looking improvements to the CUDA APIs and programming model

  • Write effective, maintainable, and well-tested code

  • Develop code for multiple operating systems

What we need to see:

  • BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)

  • Strong C and C++ programming skills

  • Minimum of 8 years of related development experience (multiple positions for varying experience levels open)

  • Experience driving projects across multiple teams

  • 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 as well as presentation skills

Ways to stand out from the crowd:

  • Prior experience with parallel computing, PyTorch, low-latency AI inference

  • 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 Linux, or Windows Systems Software development

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 April 18, 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.
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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