Top Tech Jobs & Startup Jobs in Boston, MA

Supports the design, validation, troubleshooting, and maintenance of reliability stress hardware and systems used to qualify semiconductor products. Responsibilities include developing Burn-In, HAST, and HTOL boards; performing board- and system-level validation; assisting with hardware bring-up and failure investigations; collaborating with technicians, engineers, product teams, and suppliers; and documenting designs and test results. The role requires a strong electrical engineering foundation, laboratory skills, and interest in semiconductor reliability and qualification testing.

Serves as strategic legal advisor and business partner to designated organizations, advising leadership on contracts, corporate transactions, intellectual property, AI and technology matters, licensing, procurement, employment, compliance, and litigation. Negotiates technology-related agreements, interprets laws and regulations, mitigates legal risk, supports strategic decisions, leads special projects, improves legal processes, and collaborates with senior executives and internal legal experts. Travel is required approximately 10% of the time.

Reliability Operations Engineer responsible for improving semiconductor reliability lab efficiency, automation, connectivity, monitoring, and maintenance. The role supports new product qualification, develops test fixtures and hardware/software solutions, debugs reliability tests, analyzes data, documents findings, and collaborates with cross-functional engineering and manufacturing teams. The position also supports lab quality initiatives, technician staff, and customer-return investigations.

Defines and manages software, embedded, digital, and AI platform products from concept through end of life. Translates customer and market needs into product requirements, roadmaps, business cases, and prioritized features. Partners with engineering, program management, marketing, applications, and customers to align strategy, architecture, delivery, launch readiness, documentation, and adoption. Influences cross-functional teams without direct authority and promotes reusable software components and platform capabilities.

Principal Product Manager responsible for defining software, digital, AI, and embedded platform products. Translates customer and market needs into requirements, prioritizes features, develops roadmaps and business cases, and drives lifecycle planning. Partners with engineering, business units, program teams, and customers to resolve tradeoffs, improve platform reuse, support launches, and align product strategy with technical feasibility, customer value, and commercial goals.

Defines and manages software and digital platform products from concept through end of life. Translates customer, market, and business needs into product requirements, roadmaps, priorities, and business cases. Partners with engineering, business units, program teams, and customers to guide architecture, resolve tradeoffs, improve software reuse, and support product launches. Drives cross-functional alignment, customer adoption, documentation, and lifecycle execution for embedded software and software-enabled hardware platforms.

Owns and improves photolithography manufacturing equipment reliability, availability, safety, and performance. Leads troubleshooting, corrective actions, OEE initiatives, maintenance strategies, equipment qualification, modifications, and transfers. Partners with manufacturing, process engineering, quality, and supply chain on capacity, yield, and cost improvements. Manages spare parts and suppliers while mentoring engineers and technicians and serving as a technical subject matter expert.

Provides technical leadership for high-volume semiconductor manufacturing processes and equipment. Owns process modules, improves yield, throughput, cycle time, quality, reliability, and cost, and leads investigations using structured root-cause methods. Develops and transfers new processes, maintains specifications and control plans, applies SPC and DOE, and mentors engineers and technicians while coordinating cross-functional manufacturing, quality, equipment, facilities, and development 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.

Provides customer-facing technical support for high-speed converters, mixed-signal systems, and integrated RF transceivers. Assesses system requirements, recommends products and reference designs, troubleshoots hardware and software issues, supports FPGA and embedded platforms, and collaborates with internal engineering teams on product improvements. Develops application notes, technical articles, training materials, and reference designs while traveling up to 10% for customer visits.