HPE Labs - Principal AI and Machine Learning Research Engineer

* 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) a**s 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 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.HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. 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