Jobs at Analog Devices

Architect and develop sophisticated robotic hardware spanning sensors, actuators, motor control, embedded processing, connectivity, and power systems. Translate robotic system requirements into subsystem and silicon requirements, guide product roadmaps, and provide technical leadership to robotics teams, technology groups, sales, and field applications engineers. The role requires hands-on experience taking robotic subsystems from architecture through hardware bring-up, debugging, verification, and deployment, with influence across electrical, mechanical, firmware, controls, AI, and systems disciplines.

Design and develop analog and mixed-signal integrated circuits, including sensor interfaces, data converters, filters, and power systems. Perform simulations, testing, validation, documentation, design reviews, and troubleshooting under mentorship. The role emphasizes developing foundational analog design expertise and collaborating with cross-functional engineering teams.

Develop and implement machine learning models for semiconductor applications, including signal processing, sensor data analysis, and edge computing. Responsibilities include feature engineering, data preprocessing, model evaluation and optimization, ML pipeline development, and collaboration with data scientists and engineers. The role requires Python proficiency, machine learning framework experience, data modeling skills, and knowledge of ML deployment processes.

Design, build, and maintain scalable software systems using Python and Rust. Architect backend services, APIs, distributed components, data models, and cloud-connected applications. Lead technical design discussions, mentor engineers, improve testing and observability, and optimize system performance. Collaborate with hardware engineers, scientists, and business stakeholders to develop solutions for renewable energy, biotechnology, and medical technology applications.

Builds production-grade software for strategic customers, including data pipelines, API integrations, and MLOps/AI workflows. Embeds on-site with clients to understand technical problems, design architectures, deploy and debug solutions, and rapidly iterate toward measurable outcomes. The role also develops reusable company-owned assets and collaborates with cross-functional AI, software, and edge technology teams. Travel is required, with preferred experience in Edge AI, LLMs, agentic systems, signal processing, or forward-deployed engineering.

Lead system-level design for electromechanical/mechatronic products: write and maintain SRS/ICDs, drive cross-domain architecture trade studies, define hardware-software interfaces, own V&V and FMEA through EVT/DVT/PVT, ensure manufacturability and reliability, partner with external vendors, and establish systems-engineering practices and tooling.

Lead system-level architecture and detailed design of ultra-low-power analog and digital AI accelerators. Translate product requirements into block-level specs, explore novel intelligence representations, develop system models with Synopsys Platform Architect, inform RTL and verification, and collaborate across compute IP, firmware, physical design, and partners while providing technical leadership and mentorship.

The Staff Research Scientist will develop AI algorithms, software simulations, and lead hardware prototyping in a collaborative research team setting.