Top Robotics Jobs in Boston, MA

Provides strategic industrial hygiene and safety engineering leadership for a major customer account. Responsibilities include hazard identification, exposure assessment, control evaluation, robotics and automation safety reviews, onsite assessments, capital project support, executive reporting, KPI tracking, training, mentoring, and consulting project leadership. The role is work from home with up to 35% overnight travel across the U.S. and potentially internationally.

Designs, validates, operates, and continuously improves high-throughput in vitro ADME assays supporting small- and large-molecule discovery. Leads assay miniaturization, laboratory automation, robotics integration, data quality, and production deployment. Collaborates with DMPK, medicinal chemistry, biology, pharmacology, translational sciences, engineering, informatics, and data science teams. Mentors scientists, manages assay performance KPIs, supports quality investigations and CAPA, and advances automated workflows across ADME and drug safety applications.

Owns execution of a complex robotics product program spanning hardware, embedded and cloud software, AI models, apps, operations, quality, and certification. Translates product priorities into plans, coordinates multidisciplinary teams, manages risks and dependencies, drives release quality, and provides credible status and tradeoff visibility to senior leadership and the CEO.

Own product strategy, priorities, and roadmaps across robotics hardware, software, AI/perception systems, motorcycle safety modules, cloud tools, and companion apps. Translate customer and market feedback into business cases and product decisions, partner with Sales and Design, champion simplicity, and define goals for Program Management execution. Represent product strategy to executive leadership, customers, and the Board.

Leads process analytics method development, automation, robotics-enabled workflows, and platform implementation across pharmaceutical development programs. Establishes analytical standards, governance, roadmaps, and performance measures; transfers methods into laboratories; modernizes data and instrument connectivity; manages vendors; and supports process analytical technology, quality, compliance, and inspection readiness. Provides technical and people leadership while coordinating cross-functional stakeholders and driving scalable, standardized analytical capabilities across sites.

Owns the strategic vision, roadmap, delivery, adoption, and business value of Takeda’s AI-native discovery automation and robotics product family. Leads cross-functional teams across scientific, digital, data, computational, automation, and technology functions; defines AI-enabled laboratory workflows; prioritizes investments; guides platform and integration choices; manages stakeholders and external partners; and drives measurable improvements in laboratory throughput, data quality, scientific impact, and operating efficiency.

Own the technical product roadmap, backlog, architecture direction, and delivery cadence for Takeda’s AI-driven Discovery Automation and Robotics product family. Translate scientific and business goals into technical requirements, manage Agile delivery, guide engineering and data teams, oversee integrations with laboratory platforms, make technical trade-offs, manage risks and external partners, and ensure scalable solutions support automated small-molecule discovery workflows.

Leads technology and business excellence initiatives across high-throughput analytics, PAT, laboratory automation, robotics, and digital transformation. Owns technology prioritization, KPI-driven roadmaps, value capture, governance, change management, risk management, vendor collaboration, and cross-site standardization. Partners with analytical development, process development, quality, compliance, digital, and external stakeholders to implement scalable technologies in regulated GMP and QC environments supporting biologic and small-molecule programs.

Serves as the primary technical advisor for industrial hygiene and safety engineering initiatives. Develops hazard-control strategies, conducts exposure assessments, evaluates robotics and automation risks, supports facility modernization, and delivers onsite surveys and executive reports. Leads risk reduction projects, tracks KPIs, provides coaching and training, and advises stakeholders on regulatory and consensus standards. The role is remote with up to 35% overnight travel across U.S. and international customer locations.

Provides strategic technical leadership in industrial hygiene and safety engineering for a major account. Responsibilities include hazard identification, exposure assessments, risk prioritization, control evaluation, onsite industrial hygiene sampling, robotics and automation safety reviews, facility modernization support, executive reporting, KPI tracking, training, mentoring, and project leadership. The role is remote with up to 35% overnight travel across the United States and potentially internationally.

Lead AMP's multidisciplinary engineering organization to define and execute technology vision and roadmap. Responsible for scaling teams across hardware, software, AI, and infrastructure; driving product development, quality systems, and reliable deployments; partnering with execs and cross-functional teams on budgets, prioritization, and metrics; recruiting and mentoring leaders; and balancing short-term delivery with long-term investments to create business value.

Provides strategic technical leadership for industrial hygiene and safety engineering programs supporting a major account. Responsibilities include hazard identification, exposure assessment, risk prioritization, control evaluation, robotics and automation safety reviews, onsite assessments, sampling analysis, facility modernization support, KPI development, executive reporting, training, mentoring, and project leadership. The role is remote with up to 35% overnight travel and requires expertise in occupational exposure limits, industrial hygiene methods, safety engineering, and regulatory standards.

Provides strategic and technical leadership for industrial hygiene and safety engineering programs supporting a major account. Responsibilities include hazard identification, exposure assessments, risk prioritization, control evaluation, robotics and automation safety reviews, onsite assessments, facility modernization support, executive reporting, KPI tracking, training, mentoring, and project leadership. The role is remote with up to 35% overnight travel and requires expertise in industrial hygiene sampling, occupational exposure limits, safety engineering, and regulatory standards.

Leads onsite deployments of automated Infinite Kitchens, coordinating internal teams, contractors, and vendors. Identifies risks, improves deployment and maintenance processes, manages tracking systems, and supports lab testing and product development. Builds prototypes, creates test plans, executes product tests, and mentors technicians. The role is based in Boston, requires five office days weekly when not traveling, and includes up to 75% travel.

Leads complex software and technical programs across engineering, product, robotics, and automation teams. Responsibilities include building program plans, managing risks and dependencies, tracking execution, facilitating technical and executive communication, reporting program health metrics, driving accountability, and improving delivery processes. The role requires coordinating distributed-system development in a fast-paced environment and may involve up to 20% travel.

Architect mechanical systems and sub-assemblies for a novel robotic haircare product, taking designs from CAD through production. Collaborate across mechanical, electrical, industrial design, manufacturing, suppliers, and users. Lead engineers, establish engineering standards, manage CAD systems, and drive hands-on development involving mechanisms, mechatronics, prototyping, DFM/DFA, mass manufacturing, and user-centered design.

Lead mechanical and systems engineering for HaloBraid, owning machine architecture and major subassemblies from CAD through pilot and production. Identify design, tolerance, assembly, serviceability, and dependency issues; establish testing and decision frameworks; apply DFM/DFA principles; support supplier and contract-manufacturer handoff; review designs; collaborate across electrical, industrial design, manufacturing, and suppliers; and mentor engineers.

Leads a 15–20-person multidisciplinary hardware engineering organization developing robotic picking systems and electromechanical products. Oversees product development from concept through validation, production, deployment, and sustaining support. Partners with software, product, program management, operations, and supply chain teams; manages customer requirements, design reviews, safety compliance, manufacturing scale-up, reliability improvements, risk mitigation, and predictable execution. Supports customer engagements and travel to domestic and international sites.

Own product strategy, roadmap, market growth, pricing, positioning, and lifecycle planning for Brooks’ atmospheric semiconductor automation sorter. Partner with sales, engineering, applications, manufacturing, and customers to expand product adoption, develop value propositions, manage revenue forecasts, optimize costs, and deliver customer-focused solutions. The role requires semiconductor fab automation expertise, value-selling experience, matrixed leadership, and customer travel.

MBA intern supporting executives on special projects, including market research, competitive analysis, strategic planning, data analysis, executive presentations, and cross-functional coordination. The role provides exposure to executive decision-making and high-impact initiatives in warehouse automation and supply chain technology. Up to 10% travel may be required, including driving or flying to client locations.

Design and develop innovative mechanical products from concept through production, including prototypes, proof-of-concept models, precision electromechanical systems, and production-ready designs. Collaborate with electrical, software, systems, and manufacturing engineers; conduct engineering analyses; create technical documentation; apply DFM, DFA, cost, and reliability principles; support proposals and customer engagements; and ensure quality-system compliance.

Own the full enterprise sales cycle for AI robotics solutions, from prospecting and discovery through demonstrations, pilots, business cases, negotiations, and contract execution. Build strategic relationships with logistics, distribution, manufacturing, and warehouse customers; develop multi-site opportunities; manage pipeline and forecasts; and collaborate with technical, product, and deployment teams to ensure successful implementation and account growth.

Leads the operational side of a growing engineering organization across software and hardware. Owns engineering roadmaps, quarterly priorities, hiring, organizational structure, performance management, leadership development, processes, and cross-functional execution. Partners with the CTO on technical direction and supports the use of AI throughout engineering. The role oversees approximately 35 engineers initially, with responsibility for scaling the organization substantially.

Drive complex technical and commercial programs from planning through delivery. Coordinate scientific operations, AI/ML, software, perception, hardware, data, business, customers, and partners. Define milestones, budgets, dependencies, risks, documentation, requirements, and success metrics; resolve ambiguity and maintain execution alignment. Improve workflows and build reusable program-management systems while supporting deployments, technical decisions, and urgent operational needs. The role is in-person in Cambridge, Massachusetts, with travel to customer and partner sites as needed.

Leads the strategy and team developing Physical AI systems for autonomous laboratory experimentation and drug discovery. Builds world models, agentic and multi-agent systems, adaptive optimization, error detection and recovery, and closed-loop learning across laboratory workflows. Partners with robotics, automation, engineering, data science, and scientific teams to deploy reliable, secure, and governed AI systems with uncertainty monitoring and human oversight.