Director Robotics Automation Engineer Jobs in Massachusetts

EPAM's Physical Technology Development (PTD) group is seeking a strategic and highly experienced Director, Robotics Engineering Consultant to join our multidisciplinary product engineering practice in Boston. Working in a hybrid capacity, you will take on a high-influence leadership role within a rapidly growing robotics offering where hardware, software, AI, and human-centered design converge to solve our clients' most complex challenges. Leveraging our state-of-the-art 18,000 sq. ft. prototyping facility known as the Made Real Lab and our dedicated Robotics & Automation Intelligence Lab (RAIL) accelerator, you will help shape the technical roadmap for our robotics offering-focusing on robotics products, advanced industrial automation, life sciences applications, and cutting-edge Physical AI. In this strategic role, you will bridge the gap between technical execution and business growth. You will serve as one of the principal technical voices leading complex, multi-disciplinary programs, while collaborating closely with EPAM's commercial teams to identify, scope, and capture new client opportunities. This is a unique opportunity to guide ambitious physical-digital programs, mentor a talented team of engineers, and directly drive the expansion of EPAM's robotics and automation offering as part of an established, world-class physical technology development practice. Req# Responsibilities Provide technical program leadership by leading end-to-end robotics and automation program execution and coordinating mechanical, electrical, embedded, and software engineering workstreams from initial requirements through deployment Support business development and scoping by partnering with commercial teams to identify client opportunities, conduct feasibility assessments, develop technical proposals, and build realistic development plans Drive system architecture and design to own key decisions for custom automation cells, robotic work cells, collaborative robot deployments, and physical AI integrations Direct strategic technology sourcing using a structured make-vs-buy methodology to evaluate technology ecosystems, analyze third-party platforms, and recommend optimal integration strategies Maintain standards and compliance ownership by leading or contributing to system validation, design verification, and safety assessment activities in strict alignment with standards such as ISO 10218, ISO/TS 15066, and ANSI/RIA R15.06 Shape offering growth and technical strategy in collaboration with leadership to define the multi-year technical roadmap, identifying emerging trends like foundation models, digital twins, and edge compute Lead team development and mentorship by helping recruit, onboard, and mentor early- to mid-career robotics engineers while building reusable frameworks and delivery accelerators Requirements A strong educational background with a BS, MS, or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a closely related technical discipline Extensive professional experience including 10+ years of engineering work focused on robotics and automation systems with a proven track record of complete system ownership Sharp systems engineering instincts featuring an excellent ability to decompose complex problems, manage interdisciplinary interfaces, and guide cross-functional teams through hardware-software integration Proven technical programming and control skills including experience with ROS or ROS2 alongside proficiency in motion planning, kinematics, and control systems Deep exposure to perception and vision systems with a background in integrating machine vision, sensor fusion, or advanced perception technologies into robotic workflows Strong client and stakeholder management skills backed by exceptional communication abilities and a track record of earning trust with both lab engineers and C-suite executives Advanced technology exposure, such as familiarity with physical AI, VLM integration, simulation environments like Isaac Sim or Gazebo, and edge compute, is highly preferred