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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # High Performance Compute HPC Software Engineer HP - **Company:** KLATencor Corporation - **Location:** Ann Arbor, MI, United States - **Experience:** Expert - **Salary:** $105,900.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Performance Management, C++ (Programming Language), Nvidia CUDA, Computer Engineering, Data Centers, Software Debugging, Linux, Microprocessors, Ethernet, General-Purpose Computing on Graphics Processing Units, Network Topologies, InfiniBand, OpenMP, PCI Express, Software Engineering, Software Systems, Systems Architecture, Multithreading, High Performance Computing, Parallel Computation, Reliability of Systems, Containerization, Kubernetes, Storage Technologies, Information Technology, Software Performance, Network Server, Docker - **Published:** July 14, 2026 - **Apply:** https://jobs.mitalent.org/job-seeker/job-details/JobCode/394789530 ## About the Role * Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience. * Strong experience developing HPC or systems software on Linux. * Proficiency in Java and/or C++ and/or other system-level or performance-oriented languages. * Hands-on experience with parallel computing (MPI, OpenMP, multithreading). Candidates with GPU computing (CUDA, ROCm, or equivalent) would be preferred. * Solid understanding of HPC hardware fundamentals: CPUs, memory hierarchies, storage, networking (Ethernet / InfiniBand). * Practical experience working with clusters, servers, or rack-scale systems in lab or production environments. * Strong debugging skills across software, OS, and hardware boundaries., * Experience with containerized HPC environments (Docker, Singularity/Apptainer, Kubernetes in HPC contexts). * Familiarity with high-speed interconnects, storage architectures, and performance benchmarking. * Exposure to rack integration, including cabling, power distribution, cooling, and system bring-up. * Experience in semiconductor, manufacturing, or high-reliability systems environments. * Ability to reason about system reliability, MTBF/MTBA, and failure modes in large compute installations., Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years ## Description HPC Software Engineering * Design, develop, and optimize HPC software running on large-scale Linux clusters, including distributed and parallel workloads (MPI, multithreading, GPU-accelerated pipelines, containerized workloads). * Optimize application performance and power utilization across CPU, memory, storage, and network subsystem, with attention to throughput, latency, and scaling behavior. * Develop and maintain system-level tooling for cluster bring-up, diagnostics, monitoring including component power usages, and health checks. * Work closely with algorithms, systems and application teams to understand and translate workload characteristics into power-efficient HPC software solutions. HPC Systems & Hardware Awareness * Collaborate with hardware and systems teams to define HPC node, storage, and interconnect requirements based on software and algorithm needs. * Understand and influence CPU/GPU selection, memory sizing, PCIe layout, NUMA behavior, and network topology to ensure optimal software performance. * Participate in HW/SW co-debug activities, including performance bottlenecks, stability issues, and failure analysis. Rack & Infrastructure Engineering * Understand rack-level integration of HPC systems, focusing on power, cooling, cabling, networking, and physical layout considerations. * Understand data-center and lab constraints such as power budgets, thermal limits, network drops, and serviceability. * Contribute to best practices, and design reviews for new platforms and refresh cycles. Cross-Functional Collaboration * Act as a technical bridge between software, hardware, systems teams. * Provide clear technical documentation covering software and system architecture, deployment flows, performance assumptions. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [WWC24 - Ankit Patel - Unlocking the Future Breakthrough Application Performance and Capabilities with NVIDIA](https://www.wearedevelopers.com/videos/920-wwc24-ankit-patel-unlocking-the-future-breakthrough-application-performance-and-capabilities-with-nvidia) ## Related Articles - [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Learning Kubernetes made easy with KubeCampus](https://www.wearedevelopers.com/magazine/348-learning-kubernetes-made-easy-with-kubecampus) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers) - [What is a Hackathon? 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