Staff AI/ML Engineer - Edge AI System

Confirmed live in the last 24 hours

Analog Devices

6 Locations

On-site

Posted April 20, 2026

Job Description

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

Staff AI/ML Engineer - Edge AI System

About the Role

Join us at Analog Devices as a Staff AI/ML Software Engineer and lead the development of cutting-edge AI/ML systems that power real-time applications across industries like industrial automation, data centers, communications, and hardware design. At Analog Devices, we’re committed to pushing the boundaries of innovation in Physical AI. Be at its forefront, working at the intersection of hardware and software to deliver scalable, production-grade solutions. This role offers the opportunity to drive technical strategy, mentor teams, and shape the future of AI/ML systems.

Key Responsibilities

Analyze and optimize time-series sensor data to ensure real-time performance.

Architect and deliver scalable AI/ML systems and reference designs for real-time applications.

Build proof-of-concepts (PoCs) and pilot systems, optimizing models for latency, throughput, cost, and power efficiency.

Develop surrogate models for large-scale device/system simulations.

Explore innovative agentic AI approaches for system optimization and planning.

Mentor engineers, establish best practices, and contribute to the AI/ML community through workshops and publications.

Contribute to HW deployment, configuration, and operational tooling. Partition workloads on edge device architecture.

Collaborate with Solutions Engineers to assess data assets and deployment requirements.

Must-Have Skills

Expertise in time-series data processing (e.g., feature extraction, quality assessment).

Proficiency with hardware modeling tools (e.g., SPICE, Verilog, MATLAB).

Strong background in signal processing, control systems, or physics-based data analysis.

Experience with real-time or streaming data processing under performance constraints.

Proven ability to design scalable, high-performance ML systems and apply advanced ML algorithms.

Excellent communication skills to translate complex technical results into actionable insights.

Preferred Qualifications

Master’s or PhD in Electrical Engineering, Physics, Computer Science, or a related field with expertise in statistical signal processing, mixed signal design, or power electronics.

8+ years of experience in hardware-related industries and/or machine learning engineering.

#LI-BF1

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days