{"id":1663852,"url":"https://alion.io/job/hewlett-packard-enterprise-hpc-ai-performance-engineer-2","title":"HPC & AI Performance Engineer","company":{"id":5292,"name":"Hewlett Packard Enterprise","domain":"hpe.com","url":"https://alion.io/company/hewlett-packard-enterprise","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":122,"ghost_share":0,"stale_share":0.811,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Houston, United States","Bloomington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":105500,"max":243000,"currency":"USD","period":"year","gross":null,"usd_annual":243000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"DeepSeek","optional":false},{"name":"Fortran","optional":false},{"name":"HPC","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"MPI","optional":false},{"name":"OpenMP","optional":false},{"name":"Python","optional":false},{"name":"C","optional":true}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-22T19:36:42Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"HPC & AI Performance EngineerThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.Who We Are:\nHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.\nJob Description:\nHPE operates at the forefront of a fast-moving HPC and AI industry. We are looking for driven engineers who thrive on complex technical challenges and consistently deliver high-quality results that strengthen the performance, competitiveness, and success of HPE’s HPC & AI solutions for customers worldwide.\nRequired Responsibilities:\nLead HPC and AI benchmarking projects across CPU, GPU, network, memory, and storage platforms.\nEvaluate HPE and competitive HPC and AI architectures using performance models and benchmark data.\nRun and analyze scientific, engineering, large language model (LLM), AI training and inference, storage, and I/O workloads.\nIdentify performance bottlenecks and optimize applications, AI frameworks, libraries, compilers, runtimes, and system software.\nApply parallel computing, GPU acceleration, profiling, and memory and I/O optimization to deliver credible, repeatable results.\nRequired Qualifications:\n6+ years of Experience with HPC and AI workloads, including scientific and engineering applications, MLPerf, large language models such as DeepSeek, Kimi K2.6 or K3, and gpt-oss-120b, AI training and inference, storage benchmarks, and performance-profiling tools. Relevant coursework and internship experience will be considered.\nKnowledge of HPC and AI system architecture, including CPUs, GPUs and other accelerators, memory, networking, storage, and software stacks, with the ability to explain their impact on application and benchmark performance.\nUnderstanding of parallel and distributed programming techniques, including MPI, OpenMP, OpenSHMEM, algorithms, and performance considerations for HPC and AI workloads.\nAbility to lead complex HPC and AI performance projects, work effectively across technical teams, and translate findings into customer-focused recommendations.\nDemonstrated ability to analyze and optimize computational applications and benchmarks on Linux-based HPC and AI systems.\nExperience with HPC and AI software environments, including C, C++, Fortran, Python, Linux scripting, compilers, MPI, MPI-IO, OpenMP, and relevant AI frameworks and libraries.\nExperience with NVIDIA GPUs and AMD Instinct MI-series accelerators, including offloading computational routines using CUDA, HIP, OpenMP target offload, OpenACC, or comparable programming models for HPC and AI workloads.\nExperience using performance-profiling, tracing, and debugging tools on Linux-based HPC and AI systems.\nAbility to interpret benchmark results, identify performance bottlenecks, and recommend improvements for HPC and AI applications and systems.\nExcellent analytical and problem-solving skills.\nExcellent written and verbal communication skills, with the ability to present complex technical findings clearly to engineering teams, customers, and business stakeholders; professional proficiency in English required.\nMaster’s degree in computer science, engineering, mathematics, physics, chemistry, environmental science, or a related technical field; PhD preferred.\nAccessibility\nHPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.\nNote: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.\nWhat We Can Offer You:\nHealth & Wellbeing\nWe strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.\nPersonal & Professional Development\nWe also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.\nUnconditional Inclusion\nWe are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.\nLet's Stay Connected:\nFollow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.\n#unitedstatesJob:\nEngineeringJob Level:\nTCP_04\"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.- United States of America: Annual Salary USD 105,500 - 243,000 in Minnesota & Texas\nThe listed salary range reflects base salary. Variable incentives may also be offered.\"\nInformation about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html\nHPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBTemployer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.\nHewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.\nHPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.\nRecruitment Fraud Alert\nWe have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.\nAll legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. 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