AI/ML – Hardware Engineer, Machine Intelligence Neural Design (MIND)


Job Overview

Key Qualifications

  • 2+ years of experience working on ultra low power design
  • Proficiency in Python
  • Experience with FW development (C/C++)
  • Strong verbal and written communication and collaboration skills
  • Proficiency with Verification Methodologies, Environments and Best Practices. Understand and specify board level Requirements for FPGAs and low power CPUs.
  • Hands on lab bring-up experience, debug, and instrument usage
  • Experience with different sensors, particularly image sensor, microphone and IMU
  • Description

    As a Hardware Engineer on this team, you will use your background to:- Build ultra low power hardware for AI applications – Come up with novel ideas to improve power consumption to fit the application requirement – Collaborate with multi-functional teams and understand requirements. – Articulate implementation choices, challenges and present results – Collaborate with multi-functional teams in order to define prototype hardware to evaluate new technologies and features – Do failure mode analysis, root cause diagnosis and system-level problem solving – Have hands on bench measurements of prototypes

    Education & Experience

    Bachelor’s, Masters or PhD degree in Electrical Engineering, Computer Science, or a related field

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