Hpe Labs - Principal Ai And Machine Learning Research Engineer

HPE (Hewlett Packard Enterprise)

Milpitas, California, US
Base: usd 160,000 - 303,000 in colorado; base: usd...
Onsite
Analog in-memory computing research
Ai/ml accelerator integrated circuit design
Leadership in research projects
HPE Labs is an international research organization focused on delivering breakthrough technologies that provide competitive advantages through fundamental science and technology investments

Job Summary

  • HPE Labs is an international research organization focused on delivering breakthrough technologies that provide competitive advantages through fundamental science and technology investments.
  • The role involves leading research activities, developing AI/ML accelerator architectures, collaborating with internal and external partners, and mentoring junior researchers.
  • HPE offers comprehensive health and wellbeing benefits, personal and professional development programs, and fosters an inclusive culture valuing diverse backgrounds.

Matching Summary

HPE Labs is an international research organization focused on delivering breakthrough technologies that provide competitive advantages through fundamental science and technology investments.

Salary

Base: USD 160,000 - 303,000 in Colorado; Base: USD 172,000 - 349,000 in California; Bonus/Equity: Not specified; Benefits: Comprehensive health and wellbeing benefits

Skills & Requirements

Must-have

  • Analog in-memory computing research
  • AI/ML accelerator integrated circuit design
  • Leadership in research projects
  • Resistive RAM (ReRAM or RRAM) experience
  • Hardware/software co-design techniques
  • AI and machine learning expertise

Nice-to-have

  • Deep learning research and algorithms
  • Microarchitecture design for custom accelerators
  • System software and GPU acceleration
  • FPGA emulation and system design
  • High creativity and proactive leadership
  • Ability to work with ambiguity

Key Requirements

  • PhD in Electrical Engineering, Computer Science, or related field
  • 5+ years AI & ML research experience (academic or industrial)
  • 10+ years AI & ML research experience with Master’s degree
  • Strong experience with analog in-memory computing
  • Experience with resistive RAM (ReRAM or RRAM)
  • Proven leadership in research projects

Work Rights

Not specified

Tailored Resume

Cover Letter