Staff Ai/ml Engineer - Edge Ai System

Analog Devices Foundation

Not specified; not specified; not specified
Not specified
Time-series sensor data processing
Hardware modeling tools spice verilog matlab
Signal processing control systems physics-based analysis
Analog Devices, Inc. is seeking a Staff AI/ML Engineer to lead the development of cutting-edge AI/ML systems that enhance real-time applications across various industries. The ideal candidate will have a strong background in time-series data processing, hardware modeling, and machine learning, and will be responsible for driving technical strategy and mentoring teams

Job Summary

  • This role leads the development of cutting-edge AI/ML systems that power real-time applications across industrial automation, data centers, and communications.
  • The successful candidate will architect scalable solutions, optimize models for latency and power efficiency, and partition workloads on edge device architectures.
  • Candidates are expected to mentor teams, establish best practices, and contribute to the AI/ML community through workshops and publications.

Matching Summary

Match Score: 85

Analog Devices, Inc. is seeking a Staff AI/ML Engineer to lead the development of cutting-edge AI/ML systems that enhance real-time applications across various industries. The ideal candidate will have a strong background in time-series data processing, hardware modeling, and machine learning, and will be responsible for driving technical strategy and mentoring teams.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Time-series sensor data processing
  • Hardware modeling tools SPICE Verilog MATLAB
  • Signal processing control systems physics-based analysis
  • Real-time streaming data performance constraints
  • Scalable high-performance ML system design

Nice-to-have

  • Agentic AI approaches for optimization
  • Surrogate models for device simulations
  • Mentoring engineers and establishing best practices
  • Workshop and publication contributions
  • HW deployment configuration tooling expertise

Key Requirements

  • Master's or PhD in Electrical Engineering Physics Computer Science
  • 8+ years experience in hardware-related industries or machine learning engineering
  • Expertise in statistical signal processing mixed signal design or power electronics

Work Rights

US Citizens, US Permanent Residents, or protected individuals required; others need export licensing review

Tailored Resume

Cover Letter