Jobs at Analog Devices

Design, develop, and maintain scalable AI/ML systems and end-to-end pipelines (data preprocessing, model training, prompt engineering). Collaborate cross-functionally, optimize model performance, ensure fairness and security, monitor production systems, troubleshoot issues, mentor junior engineers, and recommend improvements to data infrastructure and tooling.

The Edge Compute Architect for Optical Systems will define and evaluate digital architectures for near-sensor computing, develop optical sensor systems, and lead prototyping efforts, requiring advanced expertise in signal and image processing.

Design and optimize machine learning algorithms for sectors like energy and healthcare. Conduct simulations, validate performance, and collaborate with teams.

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.

The Principal Robotics Application Engineer will lead technical strategies and influence customer solutions in robotics, working across teams to match customer needs with ADI's technology offerings.

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.

Architect and lead AI-hardware co-design solutions from research to validated proofs-of-concept. Quantify compute trade-offs with high-fidelity simulation, optimize algorithms for hardware (memory, dataflow, precision), select compute substrates from MCUs to custom accelerators, mentor engineers, and translate innovation into deployable systems while driving thought leadership in Edge AI.

Design, build, and maintain MLOps software systems and ML pipelines; deploy, test, and monitor AI/ML models on cloud-native platforms; implement ETL and data workflows; ensure model performance, security, and scalability; lead technical roadmap, mentor engineers, and evaluate emerging MLOps tools.

Lead a portfolio of early-stage R&D projects combining software, AI/ML, and hardware. Develop schedules, budgets, and plans; coordinate cross-functional teams and external partners; manage risks, quality, dependencies, vendor onboarding, and IT security assessments; communicate progress to leadership and drive program management process improvements.

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.

Develop advanced learning algorithms for dexterous robots, create simulations, and manage data collection and evaluation frameworks.

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