HPE Labs - Principal AI and Machine Learning Research Engineer

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.

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:

   

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), 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 take innovative ideas and make them real – contributing along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer. The ideal candidate can thrive in an applied research environment, balancing significant technical and scientific contributions with the ability to bring such contributions to practice through innovative solutions that address the needs of our customers and partners. We expect the successful candidate to collaborate with HPE Labs research teams as well as with external partners, and to work in alignment with HPE's broader innovation community. Excellent software systems building skills are a significant plus

Role and 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.

Qualifications and Education Requirements

• 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 Skills

• 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 sys