Research Engineer – Control, Optimization & Safety Systems

About this role

Overview Arm is extending its “Arm everywhere” vision into robotics and embodied AI, where intelligence must operate under real-world constraints of latency, power, and safety. We are building a new robotics research lab in Austin focused on the science of integration—understanding how different paradigms (learning, control, planning) work together in real robotic systems, and how they map onto heterogeneous compute. This role focuses on control, optimization, and safety as the foundation of deployable embodied AI

You will develop real-time control and safety-critical systems, and integrate them with learning-based components in hierarchical architectures. A key focus is ensuring that behavior can be bounded, verified, and enforced across the system. Responsibilities Develop control algorithms (e.g., MPC, optimal control) for complex robots Integrate control with learning-based components in hierarchical systems Design safety mechanisms (runtime assurance, constraint enforcement) Contribute to real-time system design under strict latency constraints Enable system-level integration across ML, perception, and systems Translate safety and control requirements into compute and architecture insights Required Skills and Experience Strong background in control theory, robotics dynamics, optimization Experience with real-time or safety-critical systems Proficiency in C++ and/or Python Experience with robotic platforms and simulators Publications in top-tier venues “Nice To Have” Skills and Experience MPC, trajectory optimization Control Barrier Functions or safety-constrained control Formal methods and verification Learning-based control Experience with high-DOF or humanoid robots In Return You will help define how robotic systems are made safe, reliable, and controllable—shaping both Arm’s research direction and the architectures that will power robots at global scale

#LS-KS1 Salary Range: $198,100-$268,000 per year We value people as individuals and our dedication is to

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