Principal Time-Series AI Engineer - Edge & Sensor Foundations

Analog Devices; San Jose (CA); On-site; USD 180,000 - 230,000; Full time

Job summary

Analog Devices, Inc. seeks a Principal AI Engineer to advance time-series and sensor foundation models across automotive, health, industrial, and robotics domains. You will build architectures unifying multimodal data—electrical, audio, motion, photonic, and physiological signals—into context-aware time-series reasoning.

Expect cross-modal research, benchmarking, and collaboration across ML, hardware, and embedded teams.

Qualifications

• Experience in developing time-series AI models and sensor data fusion.
• Strong collaboration across ML, hardware and embedded teams.

Responsibilities

• Advance time-series and sensor foundation models for automotive, health, industrial, and robotics domains.
• Design architectures unifying multimodal data (electrical, audio, motion, photonic, physiological signals) for context-aware reasoning.
• Conduct cross-modal research and benchmarking to drive robust AI solutions for embedded systems.

Job description

Analog Devices, a global semiconductor leader, seeks a Principal AI Engineer to advance time-series and sensor foundation models across automotive, health, industrial, and robotics domains. You will build architectures unifying multimodal data—electrical, audio, motion, photonic, and physiological signals—into context-aware time-series reasoning.

Expect cross-modal research, benchmarking, and collaboration across ML, hardware, and embedded teams.