Top Tech Jobs & Startup Jobs in Boston, MA

Defines and manages software, embedded, AI, and digital platform products from concept through end of life. Translates customer and market needs into product requirements, roadmaps, priorities, and business cases while aligning engineering, business units, program teams, and customers. Guides platform strategy, software reuse, developer experience, launch readiness, documentation, and lifecycle execution. Requires strong technical understanding of embedded software, firmware, hardware interactions, product tradeoffs, and cross-functional influence.

Leads architecture and development of high-speed multi-GHz data converters from concept through production. Designs transistor-level CMOS circuits, develops calibration algorithms, defines converter specifications, and guides layout, evaluation, and test teams. Collaborates across sites and with customers, conducts design reviews, prepares technical documentation, and mentors engineers. The role requires extensive expertise in ADC/DAC architectures, time-interleaved converters, analog circuits, Cadence, SPICE, and MATLAB.

Designs transistor-level mixed-signal CMOS circuits for advanced data converters, including amplifiers, comparators, switched-capacitor circuits, voltage and current references, and LDOs. Develops behavioral models, collaborates on architecture and layout, documents designs, conducts reviews, and supports hands-on laboratory evaluation. Requires strong circuit-design expertise, Cadence and SPICE experience, MATLAB modeling skills, and effective teamwork.

Leads global quality engineering and QMS initiatives across semiconductor manufacturing sites. Responsibilities include managing IATF, ISO, and VDA audits; resolving product and process quality issues; standardizing quality systems; supporting APQP and DFMEA; ensuring regulatory, cybersecurity, and customer compliance; training auditors; and deploying digital, analytics, and AI-enabled quality tools.

Develop, maintain, debug, test, and document embedded software and firmware. Integrate software with hardware platforms, support verification and validation, troubleshoot issues, and collaborate with hardware, systems, applications, and product engineering teams. The role also contributes to design discussions, code reviews, and technical documentation under the guidance of experienced engineers.

Leads architecture and design of high-speed mixed-signal CMOS integrated circuits for ATE applications. Responsibilities include wireline transmitters and receivers, DFE, clock and data recovery, VCO/PLL collaboration, analog and digital equalization, custom high-speed digital circuits, system integration, technical leadership, mentoring, and stakeholder presentations.

Leads architecture and design of high-speed mixed-signal semiconductor systems, including wireline transmitters and receivers, DFE, clock and data recovery, VCO/PLL, equalization, and custom digital circuits. Collaborates on chiplet and system integration using advanced CMOS processes, presents technical results, and mentors junior engineers. Requires expertise in high-speed or RF CMOS, digitally assisted analog design, and semiconductor system architecture.

Leads the productization roadmap for Analog Devices’ Physical Intelligence software stack. Converts complex hardware, software, and AI capabilities into commercial software products, SDKs, developer tools, and simulation environments. Owns product strategy, customer requirements, solution architecture, prototyping, ecosystem integration, and cross-functional alignment across research, engineering, business units, and field teams.

Lead the productization roadmap for Analog Devices’ Physical Intelligence software stack. Define strategy, requirements, architecture, and customer solutions for scalable AI products, SDKs, developer tools, and simulation environments. Drive rapid prototypes and proof-of-concepts, integrate offerings with industry ecosystems, and align research, engineering, business units, and field teams. The role requires deep expertise in physical AI, edge AI, robotics, and technical product commercialization, with responsibility for transforming complex hardware and software solutions into market-ready products.

Develop and evaluate multimodal deep learning and agentic reasoning models for Edge AI, working with text, audio, video, and time-series data. Responsibilities include data collection and preprocessing, model training, supervised fine-tuning, post-training, knowledge distillation, reinforcement learning, evaluation, prototyping in Python, and communicating research through reports and publications.