Top Robotics Jobs in Boston, MA

The role focuses on defining and executing partnership strategies for robotics, boosting business development with senior representatives, and translating external opportunities into actionable recommendations internally. It involves maintaining market intelligence and ensuring effective collaboration across various departments.

As a Principal Hardware Engineer, you'll design scalable hardware systems for automation in fulfillment operations, integrating hardware with software through a collaborative approach.

Lead product development for SharkNinja robots by managing technical specifications, collaborating with cross-functional teams, and driving innovation and improvements in robotic technology.

Own CNC process development and design machining workflows, integrate automation systems, optimize toolpaths, collaborate across teams, and lead yield improvement efforts.

Manage enterprise customer relationships, ensuring successful robotics deployment, aligning outcomes with business goals, and driving account growth through effective communication and cross-functional coordination.

The Customer Success Manager will build strong relationships with clients, support robot deployment, troubleshoot issues, and drive customer growth by collaborating with cross-functional teams.

As an Electrical Engineer, you'll design and enhance robotic lab automation systems, focusing on electrical power distribution and system performance improvements in compliance with safety standards.

The Sales Executive will drive revenue growth by sourcing and closing large-scale enterprise deals in automation and robotics, while managing complex sales cycles and building long-term customer partnerships.

Manage a systems engineering team for atmospheric semiconductor automation products. Ensure systems engineering principles and QMS compliance across NPI/CuSP projects, schedule resources, control budgets, resolve field escalations, and develop team skills while executing system specifications and DVT testing.

The Senior Robotics Engineer will develop and maintain localization algorithms, collaborate with teams, and utilize data for functionality proofing. This role requires strong communication skills and teamwork.

Manage the Autonomy Platform, overseeing roadmap and simulation for ML and robotics. Collaborate with internal teams to ensure reliability and performance based on customer needs.

The Director will build and oversee the Local Site Sustaining Engineering function, focusing on fleet reliability, incident response, and continuous improvement in lab operations across multiple sites. Responsibilities include defining operating models, leading teams, managing supply chain continuity, and integrating AI solutions for equipment health.

As an Electrical Engineer at GSK, you will manage electrical services, ensure compliance with standards, and improve electrical systems to enhance operational safety and efficiency.

The VP of Engineering will lead the creation of a unified platform for lab automation, integrating AI for enhanced scientific experimentation, driving engineering initiatives, and mentoring teams across multi-disciplinary domains.

Lead planning, coordination, and execution of product development. Ensure project schedules are maintained, provide updates, and collaborate with teams for successful delivery.

As a Robotics ML Research Engineer, you will develop and deploy ML models for robocontrol, lead data collection infrastructure, and advance robotics learning research.

As a Sales Director, you will lead sales strategies for insurance clients, driving business growth and establishing trusted C-level relationships.

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

The Robotics Software Engineer will architect systems, implement navigation algorithms, develop software for UAS, and support prototype vehicle testing.

Lead the development of robot learning models, design simulation environments, optimize policies for real-world robots, and contribute to data lifecycle management.

Develop core AI technologies for robotics, focusing on advanced learning algorithms, simulations, data collection, and staying updated on ML and robotics advancements.

As a Robotics ML Research Engineer, you will develop algorithms for robot manipulation, lead software infrastructure, and innovate in robotics learning research.

The role requires managing customer sites using Tutor robots, diagnosing operational issues, and working closely with engineering to enhance performance.

Manage customer robotics deployments, diagnose and resolve technical issues, partner with engineering for improvements, and maintain customer relationships.

Seeking a Research Manager to lead teams in AI and robotics, defining research strategies and overseeing project deployments from concept to execution.