> Markdown version of [/jobs/ext/4349295-gpu-systems-engineer-in-mundelein](https://www.wearedevelopers.com/jobs/ext/4349295-gpu-systems-engineer-in-mundelein). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GPU Systems Engineer in Mundelein - **Company:** Energy Jobline - **Location:** Mundelein, IL, United States - **Experience:** Expert - **Salary:** $200,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, C++ (Programming Language), Computer Clusters, Nvidia CUDA, Software Debugging, Linux, Performance Tuning, Remote Direct Memory Access, Ansible, Graphics Processing Unit (GPU), Break Fix, Infrastructure Automation Frameworks, Puppet - **Published:** October 17, 2026 - **Apply:** https://www.energyjobline.com/job/gpu-systems-engineer-mundelein-31970482 ## About the Role * 5+ years engineering large-scale Linux systems in HPC, AI, or distributed-infrastructure environments. \n * Deep Linux fundamentals: installation, performance tuning, and debugging, down to the kernel when the problem calls for it. \n * Hands-on troubleshooting of distributed GPU workloads, with a strong mental model of GPU performance. \n * Working experience with GPUDirect RDMA. You understand how data moves between GPUs and the network, and what to check when it does not. \n * Solid Python for automation and tooling, plus CUDA or C/C++ experience. You can read, profile, and debug GPU code, not just operate the clusters it runs on. \n * Familiarity with configuration management tools such as Salt, Ansible, Puppet, or Chef. ## Description As part of R&D, you will join the engineers responsible for the compute, storage, operating systems, and automation behind that work at serious scale: hundreds of petabytes of storage and large CPU and GPU clusters spanning thousands of nodes.