Experteer Overview Tutti i potenziali candidati sono incoraggiati a leggere l'intera descrizione del lavoro prima di candidarsi. As Staff AI/ML Engineer at Analog Devices you will lead the development of real-time AI/ML systems at the edge, spanning industrial automation, data centers, and hardware design. You'll work at the hardware-software intersection to deliver scalable, production-grade solutions and influence technical strategy. You'll mentor teammates and contribute to AI/ML community efforts while shaping edge AI capabilities for physical systems. This role offers the chance to impact performance, power efficiency, and latency in mission-critical applications. Retribuzione / Benefits Analyze and optimize time-series sensor data for real-time performance Architect and deliver scalable AI/ML systems and reference designs for real-time apps Build PoCs and pilot systems optimizing latency, throughput, cost, and power Develop surrogate models for large-scale device/system simulations Explore agentic AI approaches for system optimization and planning Mentor engineers and establish best practices, contribute to AI/ML community Contribute to hardware deployment, configuration, and operational tooling; partition workloads on edge devices Collaborate with Solutions Engineers on data assets and deployment requirements Responsabilità Expertise in time-series data processing (feature extraction, quality assessment) xrdztoy Proficiency with hardware modeling tools (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 results into actionable insights #J-18808-Ljbffr