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Cuda Programming Jobs in Alabama (NOW HIRING)

Leidos

Lead Software Engineer

Huntsville, AL · On-site

EO/IR phenomenology, image processing, Kalman filtering, GPU programming and/or CUDA programming, developing AI/ML solutions, build systems such as CMake * Preference may be given to candidates with ...

Leidos

Lead Software Engineer

Huntsville, AL · On-site

EO/IR phenomenology, image processing, Kalman filtering, GPU programming and/or CUDA programming, developing AI/ML solutions, build systems such as CMake * Preference may be given to candidates with ...

Leidos

Lead Software Engineer

Huntsville, AL · On-site

$87K - $157K/yr

EO/IR phenomenology, image processing, Kalman filtering, GPU programming and/or CUDA programming, developing AI/ML solutions, build systems such as CMake * Preference may be given to candidates with ...

Socket.dev

Software Engineer, Senior

Huntsville, AL · On-site

$116K - $154K/yr

Experience with GPU programming and parallel processing technologies, including CUDA. * Demonstrated experience developing, integrating, testing, and validating software applications and tools.

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$25

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How much do cuda programming jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for cuda programming in Alabama is $49.27, according to ZipRecruiter salary data. Most workers in this role earn between $39.86 and $57.50 per hour, depending on experience, location, and employer.

What is the difference between Cuda Programming vs GPU Developer?

AspectCuda ProgrammingGPU Developer
Required CredentialsKnowledge of CUDA, C/C++, parallel computingKnowledge of GPU architecture, CUDA, OpenCL, C/C++
Work EnvironmentHigh-performance computing, scientific research, AIGraphics, gaming, scientific visualization, AI
Industry UsageTech companies, research labs, AI firmsGaming, entertainment, tech, research

While Cuda Programming focuses specifically on writing code using NVIDIA's CUDA platform for parallel processing, GPU Developers have a broader role that includes designing, optimizing, and implementing GPU-based solutions across various platforms and technologies. Both roles require knowledge of GPU architecture and programming languages like C/C++, but GPU Developers often work on a wider range of applications beyond CUDA-specific projects.

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing need for high-performance computing in fields like artificial intelligence, scientific research, and data processing. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued, and job opportunities are expected to grow as industries adopt GPU acceleration for complex tasks.

What does a CUDA programming developer do?

A CUDA programming developer writes software that leverages NVIDIA's CUDA platform to perform parallel processing on GPUs, optimizing computational tasks such as scientific simulations, machine learning, and image processing. They typically work with C++ and CUDA-specific libraries, debugging and optimizing code for high performance in environments that require intensive data processing.

What are popular job titles related to Cuda Programming jobs in Alabama?

For Cuda Programming jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Cuda Programming jobs in Alabama look for?

The top searched job categories for Cuda Programming jobs in Alabama are:

Cuda Programming jobs near you
Infographic showing various Cuda Programming job openings in Alabama as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $102,477 per year, or $49.3 per hour.

Senior Software Engineer CUDA UMD - GPU Kernel Scheduling

Jasper, AL • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$110K - $151K/yr

Other

Posted yesterday

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Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

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 who has phenomenal C/C++ skills? 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
  • Coordinate and drive development efforts across multiple teams
  • Help define forward-looking improvements to the CUDA APIs and programming model
  • Extend important CUDA programming models and functionality such as CUDA Graphs
  • Explore ways to use Graphs to improve the scheduling of AI/ML workloads on our GPUs to be more efficient and faster.
  • 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 4 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
  • Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
  • 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 – 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
  • Experience maintaining and extending programming models or higher-level language support for similar environments

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.

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.

Locations
  • US, CA, Santa Clara
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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

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