to deep learning algorithms or advanced techniques such as reinforcement learning (RL) or optimization algorithms... judgment to select tools that improve speed-to-value without compromising safety, controls, or maintainability. Preferred...
of switchgear/switchboard, motor controls, circuit breakers, panel boards, transformers, and surge protection devices. Perform... (electrical control circuits, switchgear/switchboard, circuit breakers, motor controls, transformers, and electrical devices) 3...
and mechanical access controls, locks, etc.) as well as physical security keying plans;Troubleshoots and repairs or oversees... nationally recognized locksmith associations: Associated Locksmiths of America (ALOA) Registered Locksmith (RL) Certified...
’s Vehicle System Controls organization, on a team specifically focused on AI‑based control, machine learning, and advanced...‑enabled vehicle motion control within the Vehicle System Controls organization. Define and own the technical roadmap...
of risk. You will set the scientific direction for perception within Compass, collaborate closely with controls, planning... and how learned representations can be trusted at safety-critical confidence levels Collaborate with controls, motion planning...
controls into testable checklists. Applied AI/ML for network security/automation (DL/RL/LLMs/RAG/FL) including anomaly...), network security, and spectrum management. Design and evaluate AI/ML methods (DL/RL/LLMs/FL) for network automation...
scientists building RL and imitation learning pipelines, provide hands-on technical direction on sim-to-real transfer, foresee... fidelity and physics fidelity - Deep expertise in robotics (controls, motion planning, perception, etc.), ideally both in the...
to remediation and closure. Guardrails & Runtime Controls Build and iterate on guardrail logic, including input/output filtering.... Conduct safety reviews of reinforcement-learning (RL) environments and trajectory data, partnering with environment and agent...
synthesis (e.g., neural CBFs, data-driven barrier functions) and the integration of CBFs into learning (e.g., CBF-RL... reachability analysis and its relationship to CBF-based approaches Knowledge of safety-constrained RL (e.g., constrained MDPs...
synthesis (e.g., neural CBFs, data-driven barrier functions) and the integration of CBFs into learning (e.g., CBF-RL... reachability analysis and its relationship to CBF-based approaches Knowledge of safety-constrained RL (e.g., constrained MDPs...