Top Tech Jobs & Startup Jobs in Boston, MA

Manage the Reliability Lab Operations, focusing on testing, compliance, process improvement, and team development to ensure high-quality and efficient testing of new products.

Lead product application engineering: develop training and customer collateral, design and test application/reference boards and demo systems, provide customer technical support to secure design-ins, mentor junior engineers, perform hardware/software/system testing and debugging, and report design/reliability issues to product teams.

Lead demand forecasting, capacity planning, and supply alignment for semiconductor foundry operations. Build models, analyze trends, track performance metrics, support cross-functional planning cycles, prepare executive reports, and advise on wafer allocation, supplier negotiations, and process improvements to optimize capacity utilization and supply continuity.

Lead and support supply chain projects from planning through execution to improve material flow, supplier performance, and production readiness. Coordinate cross-functional activities for new product introductions, support S&OP, leverage ERP and analytics to track KPIs, and drive process standardization and digital transformation efforts.

Define and execute in-vehicle networking roadmaps, design protocols for audio/video/data transport, prototype networking functions with FPGA, model network performance (QoS, clock recovery) in simulation tools, and represent ADI in standards organizations.

The Senior Principal Engineer will define and develop system architectures for high-speed industrial products, collaborating closely with customers and stakeholders. Responsibilities include product definition, development, and support, along with participation in business development and technical troubleshooting.

The Principal Mixed Signal Design Engineer leads the design of mixed-signal systems, collaborates on integrated design, and mentors junior engineers.

Maintain and optimize sanctions/partner screening policies, procedures, and tools. Monitor screening performance, analyze alerts, tune false positives, support escalations, conduct enhanced due diligence, build Power BI dashboards, partner with IT/analytics for tool improvement, and drive process controls and training to mitigate grey-market and sanctions risks.

Design and develop cloud-connected intelligent-edge software solutions. Translate system architectures into implementations, build APIs and cloud deployments, package containers for Kubernetes, write tests, implement observability, mentor junior engineers, troubleshoot and integrate features, and collaborate with cross-functional teams to support product development life cycle.

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.