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Cuda Programming Jobs in Illinois (NOW HIRING)

Strong programming background in C++, Python, Java, or Go. * Demonstrated success leading senior ... Knowledge of GPU computing (CUDA or equivalent), parallel processing, and high-performance ...

As an AI & Machine Learning Engineer, you will design, build, and deploy the intelligent systems ... CUDA, cuDNN, TensorRT, Jetson platforms Why Join LightSpeed: * Build AI systems that directly ...

... CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA ...

Senior Platform Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

Unix/Linux programming or system administration experience. * Experience with OpenStack and AWS p ... Experience provisioning and managing GPU-enabled infrastructure (NVIDIA GPUs, CUDA, multi-GPU ...

Senior HPC Systems Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

Driver and CUDA stack, DCGM health checks, XID triage, fabric manager and NVLink checks, InfiniBand ... * DevOps experience with infrastructure as code frameworks such as Ansible or Terraform.

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Cuda Programming information

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How much do cuda programming jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for cuda programming in Illinois is $52.67, according to ZipRecruiter salary data. Most workers in this role earn between $42.64 and $61.49 per hour, depending on experience, location, and employer.

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 analysis. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued by employers across technology, automotive, and research industries.

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.

What does a CUDA programmer do?

A CUDA programmer develops software that leverages NVIDIA's CUDA platform to perform parallel computing tasks on GPUs. They write and optimize code using languages like C++ and CUDA-specific libraries to accelerate applications in fields such as scientific computing, machine learning, and graphics processing.
What cities in Illinois are hiring for Cuda Programming jobs? Cities in Illinois with the most Cuda Programming job openings:
Infographic showing various Cuda Programming job openings in Illinois as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 14% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $109,559 per year, or $52.7 per hour.

HPC Systems Administration Specialist

Argonne National Laboratory

Lemont, IL • On-site

Full-time

Re-posted 19 days ago


Job description

Job Summary:
Argonne National Laboratory is a multidisciplinary science and engineering research facility, where world-class researchers work alongside experts from industry, academia, and other government laboratories. The HPC Systems Administration Specialist will assist with the design, development, and advancement of the HPC environment, focusing on software integration and contributing to the development of new HPC systems, tools, and software stacks.
Responsibilities:
• Strong background in Linux systems administration, including cluster management, performance tuning, and resource allocation in HPC settings
• Experience with package managers like Spack for software deployment, including building from source, resolving dependencies, and maintaining multiple versions in a production HPC setting
• Experience creating and managing programming environments, such as environment modules (e.g., Lmod or Environment Modules) or containers (e.g. Singularity/Apptainer) to integrate libraries and SDKs like MPI, CUDA, BLAS, or FFTW
• Familiarity with version control systems for managing configurations and custom package definitions
• Knowledge of the installation, management, and the use of software such as compilers, scientific applications, and job resource managers
• Experience with CI pipelines
• Proficiency in scripting and programming languages such as Python (for Spack package definitions and automation)
• Strong knowledge of build systems (e.g., Make, CMake, Autotools) and compilers (e.g., GCC, Intel, LLVM) for handling dependencies in Spack-managed stacks
• Ability to configure and use YAML-based files for Spack environments
• Proficiency with podman or similar container-based build environments
• Problem-solving skills for debugging dependency conflicts
• Experience working in collaborative teams, including refining user requirements and supporting researchers in scientific computing settings
• Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork
• To perform the essential functions of this position successful applicants must provide proof of U.S. citizenship, which is required to comply with federal regulations and contract.
Qualifications:
Required:
• Strong background in Linux systems administration, including cluster management, performance tuning, and resource allocation in HPC settings
• Experience with package managers like Spack for software deployment, including building from source, resolving dependencies, and maintaining multiple versions in a production HPC setting
• Experience creating and managing programming environments, such as environment modules (e.g., Lmod or Environment Modules) or containers (e.g. Singularity/Apptainer) to integrate libraries and SDKs like MPI, CUDA, BLAS, or FFTW
• Familiarity with version control systems for managing configurations and custom package definitions
• Knowledge of the installation, management, and the use of software such as compilers, scientific applications, and job resource managers
• Experience with CI pipelines
• Proficiency in scripting and programming languages such as Python (for Spack package definitions and automation)
• Strong knowledge of build systems (e.g., Make, CMake, Autotools) and compilers (e.g., GCC, Intel, LLVM) for handling dependencies in Spack-managed stacks
• Ability to configure and use YAML-based files for Spack environments
• Proficiency with podman or similar container-based build environments
• Problem-solving skills for debugging dependency conflicts
• Experience working in collaborative teams, including refining user requirements and supporting researchers in scientific computing settings
• Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork
• To perform the essential functions of this position successful applicants must provide proof of U.S. citizenship, which is required to comply with federal regulations and contract.
• PT2: Bachelors and 2+ years of experience, or equivalent.
• PT3: Bachelors and 4+ years of experience, Masters and 2+ years, or equivalent.
Company:
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management. Founded in 1946, the company is headquartered in Lemont, USA, with a team of 1001-5000 employees. The company is currently Late Stage.