Jobs / United States / Hewlett Packard Enterprise Company
HPC & AI Performance Engineer
Hewlett Packard Enterprise Company · 🇺🇸 Bloomington, Minnesota, United States of America
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 486 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 167 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Hewlett Packard Enterprise Company paid sponsored hires in similar roles3 certified filings for “Senior AI and Machine Learning Engineer” (Data Scientists) in CA: $124k–$228k, median $174k. Most were filed at wage level I (50%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Hewlett Packard Enterprise Company
The US Department of Labor certified 486 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 167 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Hewlett Packard Enterprise Company →
About the role
HPC & AI Performance Engineer This 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: Hewlett 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. Job Description: HPE is seeking a High-Performance Computing (HPC) Benchmarking Performance Engineer to work with both standard and scientific application benchmarks on HPE’s supercomputing platforms. Familiarity with HPC is advantageous, particularly in areas such as processor performance, network technologies, software expertise, and application performance and scalability. The ideal candidate will demonstrate strong technical skills in HPC scientific application software, performance analysis, and a solid understanding of HPC hardware and architecture, applying this knowledge to benchmarking activities for HPE supercomputers deployed globally. HPE operates in a fast-paced and ever-changing environment. We are looking for driven engineers who consistently deliver the high-quality results for HPE’s HPC & AI customers. Responsibilities: • Successfully complete long and short-term benchmark projects involving some of the largest HPC systems in the world that utilize the newest HPC technologies. • Understand HPC architectural components and features, as well as performance estimation methodologies used to provide required information and performance assessments for benchmarks on future HPE and competitive systems. • Complete and provide technical analysis of HPC I/O, standard and scientific application performance-based benchmark tests. • Identify solutions, define action plans, and help coordinate and deliver optimal benchmark enhancements and solutions. • Proactively develop and maintain advanced knowledge of HPE and competitor HPC products by participating in targeted training sessions, and collaborating with internal and external HPC experts. Apply specialised HPC performance optimisation techniques including parallel processing, efficient memory management, and comprehensive code profiling to ensure delivery of robust benchmark performance results on HPE’s HPC and AI systems. Qualifications: • Experience with storage benchmarks, profiling tools and/or software for HPC systems. Coursework and internship experience is considered relevant • Knowledge of HPC system components that include processor technologies, accelerator technologies, memory technologies, & software technologies – and the ability to understand their impacts on various HPC benchmarks. • Understanding of parallel programming techniques and algorithms. • Ability to take on some of the most challenging HPC projects to advance the capabilities of HPC which will benefit HPE customers and the world. • A demonstrated ability to assess and optimize aspects of computational application benchmark performance on HPC Linux based system • Expertise with software utilized by the HPC community that includes Compilers (C++, C, Fortran), OpenMP, MPI & MPI-IO, Python and other Linux based scripting languages • Expertise in GPU programming (CUDA and HIP) • Ability to use Performance profiling tools and debugging tool