Senior Engineering Manager, Robotics and Humanoid Research

About the role

FieldAI is transforming how robots interact with the real world. Our growing R&D team in Boston develops risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We combine cutting-edge research with real-world deployment, moving beyond off-the-shelf, purely data-driven methods or transformer-only architectures. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.

We are seeking an accomplished Senior Engineering Manager to lead a lean, high-performing team of research scientists and engineers working at the forefront of robotics AI. In this role, you will define and drive research strategy, oversee the development of advanced AI algorithms, and guide programs from early research through real-world deployment on physical robotic systems. You will balance deep technical leadership with people management, ensuring both scientific excellence and real-world impact.

Responsibilities

• Define and execute the robotics AI research roadmap in alignment with FieldAI’s mission and product goals.
• Identify emerging research directions, tools, and techniques across robotics, embodied AI, and machine learning.
• Establish clear technical goals, milestones, and success metrics tied to real-world robot performance.
• Recruit, mentor, and manage a multidisciplinary team of research scientists and engineers.
• Provide hands-on technical leadership through design reviews, experiment reviews, and close collaboration on challenging problems.
• Own performance management, professional development, and career progression within the team.
• Lead projects from problem definition through algorithm design, simulation, on-robot testing, and field deployment.
• Ensure research outputs translate into robust, scalable, and safe systems on physical robots.
• Champion experimental rigor, including benchmarking, ablations, reproducibility, and failure analysis.
• Collaborate closely with product, engineering, and operations teams to integrate research into production systems.
• Communicate technical progress, risks, and tradeoffs clearly to cross-functional stakeholders and leadership.
• Represent FieldAI externally through publications, conferences, collaborations, and recruiting.
• Build and maintain processes for experiment management, evaluation, and reproducibility.
• Manage resources, timelines, and priorities to deliver high-quality results efficiently.
• Foster a culture of technical excellence, ownership, and rapid iteration.

Requirements

• PhD in Computer Science, Robotics, Artificial Intelligence, or a related field, or equivalent practical experience, with a strong background in applied research.
• 8+ years of experience delivering impactful research in robotics AI, machine learning, or closely related domains.
• 4+ years of leadership experience managing research and engineering teams, including hiring, mentorship, performance management, and career development.
• Proven ability to lead multiple complex projects in parallel, from early research through real-world validation.
• Direct, hands-on experience developing, testing, and deploying AI models on humanoid and/or quadruped robots.

Preferred Qualifications

• Experience with large-scale field robotics deployments.
• Deep expertise in one or more areas such as robotics reinforcement learning, manipulation, perception, planning, or multi-robot systems.
• Demonstrated success with sim-to-real transfer on legged or humanoid platforms.
• Experience deploying AI on embedded or edge systems in resource-constrained environments.
• Publications or impactful open-source contributions in robotics or embodied AI.

Why Join FieldAI?

FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.

Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.