> Markdown version of [/jobs/ext/2748875-hpc-applications-performance-engineer](https://www.wearedevelopers.com/jobs/ext/2748875-hpc-applications-performance-engineer). 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). --- # HPC Applications & Performance Engineer - **Company:** Hewlett-Packard Enterprise - **Location:** Houston, TX, United States - **Experience:** Expert - **Salary:** $105,500.0 - $243,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Nvidia CUDA, Microprocessors, Multiprocessing, OpenMP, Software Product Management, Supercomputing, Systems Architecture, Graphics Processing Unit (GPU), High Performance Computing, Parallel Computation, Information Technology - **Published:** September 6, 2026 - **Apply:** https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/Houston-Texas/Job-Posting-Title-HPC-Applications---Performance-Engineer_1208387-2 ## About the Role * Bachelors, Master's or PhD degree in computer science, engineering, mathematics, or equivalent * 7+ years of demonstrated experience with high-end HPC systems and performance analysis/tuning of scalable HPC applications * Excellent analytical and problem-solving skills * Excellent written and verbal communication skills; mastery of English required Preferred qualifications: * Experience with large-scale HPC systems and software * Experience with large-scale AI systems and software is preferred * Detailed understanding of multiprocessor and GPU hardware architectures, capabilities, and parallel programming techniques (e.g., OpenMP, MPI, CUDA, HIP) * Proficiency with key industry-standard HPC benchmarks (e.g., HPL, HPCG, OSU MPI, NCCL/RCCL) on CPUs and GPUs is preferred * Experience with performance projection methodologies to model performance of alternate system architectures using performance measurement tools and techniques is preferred ## Description HPE is seeking an experienced HPC performance engineer who is excited to help drive the performance of systems used to solve the world's biggest problems. As a member of the HPC and AI Solutions and Performance Engineering team, this engineer will benchmark, profile, and tune HPC and AI related applications along with industry-standard benchmarks across HPE's HPC and AI product portfolio to identify, analyze, and resolve engineering and customer issues. This engineer will have the opportunity to collaborate with leading scientists and engineers, contributing to groundbreaking innovation in HPC and AI. The successful candidate will demonstrate strong technical capability in HPC scientific applications, performance analysis, and HPC architecture, along with a commitment to advancing the performance of HPE supercomputers deployed at customer sites worldwide., * Provide pre- and post-sales technical and benchmarking support to enable HPC or AI customer opportunities * Collaborate with HPE product engineering, product management, and marketing to influence current and future product capabilities and direction * Evaluate emerging technologies and assess their impact on product differentiation (performance and features) for key customer applications * Develop and maintain current knowledge of HPE and competitor HPC/AI products and performance optimization techniques to ensure the team continues to deliver high-quality benchmark results * Lead application-focused performance studies and projects, and author technical reports and papers that communicate findings and recommendations ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Quantum Tech: Preparing for the Next Leap](https://www.wearedevelopers.com/videos/1693-quantum-tech-preparing-for-the-next-leap) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/1521-accelerating-python-on-gpus) - [A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes](https://www.wearedevelopers.com/videos/1625-a-deep-dive-on-how-to-leverage-the-nvidia-gb200-for-ultra-fast-training-and-inference-on-kubernetes) - [AI Factories at Scale](https://www.wearedevelopers.com/videos/1139-ai-factories-at-scale) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/859-accelerating-python-on-gpus) ## 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) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)