About the role

Principal AI/ML Engineer in HPE Labs specializing in integrated circuits research and development. Focused on AI/ML accelerator technology for HPE's competitive advantage.

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.

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.
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.

Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness.