HPE Labs - Principal AI and Machine Learning Research Engineer

This role has been designed as ‘Onsite’ with an expectation that you will primarily work from an HPE office.

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, to 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 value varied backgrounds, empower flexibility in managing work and personal needs, and move boldly together to drive impact and innovation.

The Emerging Accelerators Team within HPE Labs has an immediate opening for a Principal AI/ML Engineer. HPE Labs is an international research organization with its headquarters and largest facility located in Milpitas, California. As the central research organization for Hewlett Packard Enterprise, HPE Labs’ purpose is to deliver breakthrough technologies and technology advancements that provide a competitive advantage for the company, by investing in fundamental science and technology in areas of interest to HPE and getting the resulting technologies ready for adoption into new and existing markets.

We expect all our researchers to provide thought leadership and technical influence both internally and externally to HPE, as well as to turn innovative ideas into practice through solutions that meet the needs of customers and partners. The ideal candidate thrives in an applied research environment, balancing significant technical and scientific contributions with the ability to bring such contributions to practice.

They will collaborate with HPE Labs research teams, external partners, and the broader HPE innovation community. Excellent software systems building skills are a significant plus.

• 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, particularly in the Analog In-Memory Computing architecture space, 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.

• PhD degree in Electrical Engineering, Computer Science, Data Science, or equivalent.
• 5+ years of experience in AI & Machine learning (academic or industrial).
• Must have strong experience in analog in‑memory computing research, computing in memory, or processing in memory.
• Work experience with resistive RAM (ReRAM or RRAM) as a non‑volatile memory device.
• Strong experience leading research projects.
• For candidates with only a Master degree, they must hold 10+ years experience in AI & ML research.

• 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…