Jobs / United States / Hewlett Packard Enterprise Company
AI Performance Engineering Intern
Hewlett Packard Enterprise Company · 🇺🇸 Spring, Texas, 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 roles1 certified filing for “Manager Electrical/Hardware Engineering IV” (Architectural and Engineering Managers) in TX: $224k–$224k, median $224k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% 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
AI Performance Engineering Intern This role has been designed as ‘’Onsite’ with an expectation that you will primarily work 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: Responsibilities: • Work with team members to design and create test plans to understand an AI system's performance. • Create and execute experiments to understand the performance characteristics of the system under test (SUT). • Use profiling and/or monitoring tools to assist with the performance characterization of the SUT. • Collaborate with team members regarding status, project progress, and issue resolution. Education and Experience Required: • Working toward B.S. in Computer Science, Applied Mathematics, Software Engineering or equivalent • Coursework and experience with GPU (NVIDIA/AMD) hardware architectures and parallel programming techniques, including parallel programming methods such as NCCL/RCCL, NVSHMEM, or OpenSHMEM Knowledge and Skills: • Background with AI applications and their programming models/languages, including PyTorch/TensorFlow • Proficiency in Python • Deep understanding of LLM parallelization methods TP/PP/DP, and especially EP (MoE) is a plus • Experience with using inference serving engines (e.g. vLLM, Ollama) is a plus • Experience with AI clusters using job schedulers (e.g., PBS, Slurm) is a plus • Experience on GPU-based AI clusters with Docker or Apptainer Containers is a plus • Experience with GPU profiling using NVIDIA Nsight or AMD rocprof is a plus • Proficiency with CUDA/ROCm is a plus • Proficiency with the Linux operating systems, scripting, and knowledge of performance monitoring tools • Experience with AI industry standard benchmarks (MLPerf) is a plus • Self-driven, solid work ethic, and motivation • Ability to multi-task with strong organizational skills and attention to detail • Excellent analytical and problem-solving skills • Integrity, customer focus, innovation, teamwork, and accountability in daily work • Ability to work in a fast-paced, multitasking environment • Excellent written and verbal communication skills. Mastery of the English language is required. Impact/Scope: • University students actively enrolled in a university/college/institution pursuing a Bachelor's degree in a technical area of study, and who typically works during school breaks and then returns to their university. While this applies to most interns, there may be opportunities for full-time students to work as part-time interns during the school year in some countries. Accessibility HPE 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 . Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability. What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones w