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Cuda Engineer Jobs in Alabama (NOW HIRING)

... Engineer to join our dynamic and diverse team in Huntsville, AL. This upcoming opening provides ... Design and implement complex software in C++, CUDA, and Python as defined by an architectural ...

New

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 ...

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 ...

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 ...

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Cuda Engineer information

See Alabama salary details

$33.1K

$97.2K

$124.6K

How much do cuda engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for cuda engineer in Alabama is $97,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,200.00 and $123,300.00 per year, depending on experience, location, and employer.

What is a CUDA engineer?

CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.

What is the difference between Cuda Engineer vs GPU Developer?

AspectCuda EngineerGPU Developer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programmingBachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL
Work EnvironmentResearch labs, tech companies, hardware firms focusing on GPU accelerationSoftware development teams, gaming, AI, scientific computing sectors
Employer & Industry UsageHardware manufacturers, AI companies, high-performance computing firmsGame development, scientific research, machine learning applications

While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.

How much do Cuda engineers make?

Cuda engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in GPU programming and parallel computing tend to have higher salaries. Certifications and a strong understanding of CUDA tools can also influence compensation.

What are some common challenges faced by CUDA engineers when optimizing GPU-accelerated applications?

CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.

What are the key skills and qualifications needed to thrive as a CUDA engineer?

To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.

Are CUDA engineers in demand?

CUDA engineers are in high demand due to the increasing use of GPU computing in fields like artificial intelligence, machine learning, and high-performance computing. Skills in CUDA programming, parallel processing, and related tools are highly valued by employers across technology, research, and industry sectors.
What are popular job titles related to Cuda Engineer jobs in Alabama? For Cuda Engineer jobs in Alabama, the most frequently searched job titles are:
Infographic showing various Cuda Engineer job openings in Alabama as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $97,239 per year, or $46.7 per hour.

Software Engineer, Senior

Socket.dev

Huntsville, AL • On-site

$100 - $130/hr

Other

Retirement

Posted 2 days ago

New


Job description

Overview

SimTech, Inc., recognized as one of the 2026 Best Places for Working Parents, is seeking a Senior Software Engineer to join our dynamic and diverse team in Huntsville, AL. This upcoming opening provides opportunities for growth and professional development. SimTech offers a market‑leading compensation package with excellent benefits, work/life balance, outstanding retirement plan, career advancement and much more.

Responsibilities
  • Provide software development for C++ and Python in model and tool development, integration, execution, test, analysis and V&V.
  • Design and implement complex software in C++, CUDA, and Python as defined by an architectural definition, ensuring efficiency, scalability, and maintainability.
  • Maintain data integrity and optimize code for distributive and/or parallel processing.
  • Implement advanced mathematical and analytical solutions required for calculations, transformations, and processes defined by specifications.
  • Apply expertise in software engineering to support design, development, testing, and deployment of assets.
  • Evaluate objectives and assignments, select appropriate engineering and programming techniques, and demonstrate sound judgment in adapting solutions.
  • Other responsibilities as assigned.
Minimum Qualifications & Education Requirements and Desired Skillsets
  • Bachelor of Science Degree or Graduate Science Degree in Computer Science, Computer Engineering, Math, Physics or Engineering.
  • Minimum of 10 years of professional experience in software development, software design, and Modeling & Simulation (M&S) environments.
  • 3–5 years of demonstrated experience and development with C++, Python, and real‑time graphics processor unit (GPU) programming.
  • Experience with GPU programming and parallel processing technologies, including CUDA.
  • Demonstrated experience developing, integrating, testing, and validating software applications and tools.
  • Experience implementing complex mathematical algorithms, analytical models, and data processing solutions.
  • Proficiency working in Linux‑based development environments.
  • Experience with software configuration management, version control systems, and collaborative development processes.
  • Strong understanding of software architecture, object‑oriented design principles, and software development life cycle (SDLC) methodologies.
  • Experience supporting Department of Defense (DoD), Missile Defense Agency (MDA), aerospace, or defense‑related programs.
  • Experience developing high‑performance computing (HPC) applications and optimizing software for distributed and parallel processing environments.
  • Strong analytical, problem‑solving, and troubleshooting skills.
  • Excellent written and verbal communication skills with the ability to work effectively in multidisciplinary teams.
  • Experience mentoring junior engineers and providing technical leadership on software development efforts.
  • U.S. Citizenship with Active Secret Security clearance and ability to maintain the designated security clearance level is required.
Physical Description

Employees in this position will function in a general office/cubicle setting and laboratory/testing environment using standard office equipment and various electronic testing equipment. Work may include telework, varying shifts, and occasional travel as required by business demands.

Equal Employment Opportunity and Affidavit

SimTech, Inc. is an Equal Opportunity/Affirmative Action Employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, citizenship, ancestry, marital status, protected veteran status, disability status or any other status protected by federal, state, or local law. SimTech participates in E‑Verify.

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