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HPE Labs - Principal AI and Machine Learning Research Engineer jobs in United States
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Hewlett Packard Enterprise · 9 hours ago

HPE Labs - Principal AI and Machine Learning Research Engineer

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. They are seeking a Principal AI/ML Engineer to lead and contribute to research activities in AI and machine learning, focusing on developing new architectures and algorithms for AI/ML workloads. The role requires collaboration with internal and external partners to drive technical innovation and research outcomes.
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H1B Sponsor Likelynote

Responsibilities

Synthesize research directions and vision based on technology insight and tracking advances across academia and industry. Define, lead, and delegate research activities while also contributing directly to research results
Research, conceive, develop, and model new architectures for AI/ML accelerator integrated circuits (IC) via simulators or system coding/analysis. Research, conceive, develop, and evaluate algorithms for AI/ML workloads on accelerator ICs or hardware, potentially utilizing hardware/software co-design techniques. Research, conceive, develop, and evaluate compiler and mapping operations for optimal assignment of computational workloads to accelerator hardware
As a member of a project team in a leadership role, conceive, architect, design, and test integrated circuit IP for AI/ML research test chips. Conceive, architect, and design test and system boards and software for IC characterization and application demonstration
Provide technical guidance and mentorship for junior researchers, interns, and postdocs. Collaborate with internal and external technology partners
Author and provide guidance on conference presentations and journal papers reporting on new research results. Drive technical innovation leading to invention disclosures and patent filings

Qualification

PhD in relevant fieldAI & Machine LearningLeading research projectsIntegrated circuit designDeep learning algorithmsMicro architecture designIn-memory computingGPU accelerationFPGAs for emulationWork with ambiguityTechnical mentorshipCreativitySelf-motivatedLeadership qualities

Required

PhD degree in Electrical Engineering, Computer Science, Data Science, or equivalent
5+ years of experience in AI & Machine learning (academic or industrial)
For candidates with only a Master degree, they must hold 10+ years experience in AI & ML research
Strong experience leading research projects

Preferred

Experience with in-memory computing accelerators
Experience with micro architecture design for custom accelerators
Experience in deep learning research, algorithms, and data structures
Experience in design and test of integrated circuit IP for AI/ML applications
Experience with emerging analog memory devices for computing applications such as RRAM, PCM, and others
Experience in system software, GPU acceleration, deep learning model execution and performance optimization
Experience working with FPGAs for emulation and system design
High level of creativity
Self-motivated and proactive, with strong leadership qualities
Ability to work with ambiguity
Ability to lead execution of complex projects
Demonstrated ability to generate, frame, and carry out leadership research as shown, for example, by papers published in top-tier conferences or journals

Benefits

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Company

Hewlett Packard Enterprise

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Hewlett Packard Enterprise is an edge-to-cloud company that uses comprehensive solutions to accelerate business outcomes.

H1B Sponsorship

Hewlett Packard Enterprise has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (532)
2024 (585)
2023 (591)
2022 (523)
2021 (551)
2020 (398)

Funding

Current Stage
Public Company
Total Funding
$2.85B
Key Investors
Elliott Management Corp.
2025-04-15Post Ipo Equity· $1.5B
2024-09-10Post Ipo Equity· $1.35B
2015-11-02IPO

Leadership Team

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Antonio Neri
President & CEO
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Fidelma Russo
EVP & GM, Hybrid Cloud and Chief Technology Officer
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Company data provided by crunchbase