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Staff AI/ML Engineer – Edge AI System
Analog Devices. Analyze and optimize time-series sensor data to ensure real-time performance.
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
- 8+ years of experience in hardware-related industries and/or machine learning engineering.
- 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.
Benefits
Comp & perks- Excellent communication skills to translate complex technical results into actionable insights.
- Mentor engineers, establish best practices, and contribute to the AI/ML community through workshops and publications.
- Collaborate with Solutions Engineers to assess data assets and deployment requirements.
- Contribute to HW deployment, configuration, and operational tooling.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
time-series data processingfeature extractionquality assessmenthardware modelingsignal processingcontrol systemsphysics-based data analysismachine learning engineeringstatistical signal processingmixed signal design
Certifications
Master’s degreePhD