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 AI/ML - Hardware Engineer, Machine Intelligence - Seattle, Washington, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Components
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200169253 / Latpro-3740803 
Date posted: May-07-2020
State, Zip: Washington, 98199


AI/ML - Hardware Engineer, Machine Intelligence

Seattle , Washington , United States



Posted: May 5, 2020

Role Number: 200169253

As a Hardware Engineer in Apple's Machine Intelligence group, you will have the outstanding opportunity to be part of a small team with close ties to the research community. You'll be responsible for different aspects of low power hardware design for AI applications. In particular, you'll work on projects that not only influence current Apple products, but also contribute to the shape of future Apple products. In our team we have opportunities from Verilog and embedded software programming for end-to-end systems to board design for proof-of-concept prototypes. We closely work with Apple Hardware organizations and try to bring AI-Hardware perspective to Apple designs. Our ideal team member is daring when it comes to trying new things, is adept at reasoning about computing hardware performance, and is willing to iterate on ideas and derive breakthroughs. We value team members who can quickly prototype, iterating all the way to high-quality implementations.

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


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

Additional Requirements

  • - 5+ years of experience working on ultra low power design
  • - Schematic capture and PCB layout design for mixed signal boards (Cadence, Altium, Eagle, etc.)
  • - In depth experience with FPGA platforms: Xilinx FPGA boards, debug, performance and throughput tuning
  • - Proven micro architecture development and excellent documentation skills


See job description


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