Senior Robotics Research Engineer

Responsibilities

• Conduct original research in one or more areas of robotics, such as machine learning and robot learning, perception, planning, control, optimization, safety, formal methods, robot systems, or mechatronics.
• Develop new methods for enabling intelligent robots to perceive, reason, plan, learn, and act in complex real-world environments.
• Explore how robotic capabilities can be composed and integrated into coherent, hierarchical and adaptive systems.
• Investigate new architectures and abstractions for combining classical robotics, learning-based methods, foundation models, and agentic AI.
• Build, integrate, and evaluate research prototypes on real robotic platforms and in simulation.
• Work across traditional research boundaries, collaborating with researchers in ML, perception, planning, control, systems, and compute architecture.
• Identify system-level bottlenecks and translate robotics research insights into requirements and opportunities for future compute and software platforms.
• Publish research at leading robotics, AI, and systems venues and engage with the broader research community.
• Contribute to new research directions and the technical roadmap of Arm’s Robotics Research Lab.
• Collaborate across Arm and with external research and industry partners.

Required Skills and Experience

• PhD or equivalent research experience in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Machine Learning, or a related field.
• Strong research expertise in at least one area relevant to intelligent robotic systems.
• Demonstrated ability to formulate and solve open-ended research problems.
• Experience implementing and evaluating algorithms on robotic systems, relevant physical systems, or high-fidelity simulation.
• Strong programming skills in C++ and/or Python.
• Ability and interest to work across disciplinary boundaries and integrate research into larger robotic systems.
• Publications in leading robotics, AI, controls, or systems venues, or equivalent evidence of research impact.
• Ability to independently execute research projects while collaborating effectively within a multidisciplinary team.

“Nice To Have” Skills and Experience

• Experience in multiple areas below is particularly valued:
• Robot learning, reinforcement learning, imitation learning, or embodied AI.
• Vision-language-action models (VLAs), vision-language models (VLMs), world models, diffusion models, or other foundation models for robotics.
• Task and motion planning, search, optimization, or decision making under uncertainty.
• Robot control, whole-body control, MPC, trajectory optimization, adaptive or learning-based control.
• Robotics perception, SLAM, sensor fusion, semantic mapping, spatial reasoning, or multi-modal sensing.
• Safety-critical robotics, runtime assurance, Control Barrier Functions, formal methods, verification, or specification-driven behavior.
• Robotics middleware, distributed systems, real-time systems, or end-to-end robot software architectures.
• Manipulation, locomotion, humanoid robotics, mobile robotics, or multi-robot systems.
• Mechatronics, sensing, actuation, hardware/software integration, or robot bring-up.
• Heterogeneous and embedded compute, including CPU/GPU/NPU/MCU platforms.
• Experience taking research from simulation to real robotic systems.
• Background spanning both research and production robotics.

In Return

Salary Range:

• We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.

Accommodations at Arm

Hybrid Working at Arm

Equal Opportunities at Arm