Deploy and support hardware platforms in the field to enable experimentation, data capture, and customer evaluations.
Configure, validate, and debug software and data pipelines used for insights generation, field trials, and customer deployments.
Deploy, test, and troubleshoot insight modules and algorithmic solutions in ADI labs and at customer sites.
Partner closely with machine learning, software, and systems engineering teams to diagnose issues, improve solution performance, and define technical next steps.
Translate customer requirements, deployment feedback, and field observations into actionable recommendations for product and solution improvement.
Resolve complex cross-stack issues spanning hardware, software, data, and algorithms in customer-facing environments.
Support field trials and production deployments with strong technical execution, communication, and customer focus.

Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or a related field, with 6+ years of relevant industry experience, or equivalent combination of education and experience.
Demonstrated experience spanning hardware, software, and algorithm development, with the ability to work effectively across disciplines.
Strong hands-on experience with field deployment, experimentation, or applied engineering in real-world environments.
Solid foundation in signal processing, machine learning, and algorithms.
Experience building, deploying, and debugging data acquisition and processing pipelines.
Experience with embedded systems, sensing platforms, or small-scale hardware deployments, including system bring-up, instrumentation, and data collection.
Proficiency in Python, C/C++, or similar languages for prototyping, debugging, and deployment support.
Experience in an Applications Engineer, customer-facing engineering, or technical customer experience role.
Excellent communication and collaboration skills, with the ability to succeed in fast-paced, customer-driven environments.
Ability to operate independently in ambiguous environments while providing strong technical leadership and execution.
Experience with electrical grids, power systems a plus.

Staff Insights Applications Engineer

Key skills