1

Cuda Developer Jobs in Illinois (NOW HIRING)

Knowledge of GPU computing (CUDA or equivalent), parallel processing, and high-performance ... You'll work alongside world-class engineers, architects, and product leaders to build scalable ...

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

Experience provisioning and managing GPU-enabled infrastructure (NVIDIA GPUs, CUDA, multi-GPU ... In-depth knowledge in core areas of DevOps technologies, including scripting languages, deployment ...

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.

Developer On-Ramp: Architecting the GTM strategy for our AI Developer Bundles (AppCO/SLES Desktop ... Ability to discuss CUDA cores, Kubernetes orchestration, and Model Context Protocols (MCP) with the ...

Showing results 41-60

Cuda Developer information

See Illinois salary details

$46.5K

$108.4K

$160.9K

How much do cuda developer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for cuda developer in Illinois is $108,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $126,000.00 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?

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.

What are the most commonly searched types of Cuda Developer jobs in Illinois? The most popular types of Cuda Developer jobs in Illinois are:
Infographic showing various Cuda Developer job openings in Illinois as of August 2026, with employment types broken down into 84% Full Time, 2% Part Time, and 14% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $108,381 per year, or $52.1 per hour.

HPC Systems Administration Specialist

Argonne National Laboratory

Lemont, IL • On-site

Full-time

Re-posted 17 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.