Autonomous Systems Engineer

2 days ago

Vapi, Gujarat, India beBeeResearch Full time ₹ 9,00,000 - ₹ 12,00,000

Job Title: Reinforcement Learning Engineer for Autonomous Systems

Location: Vapi, Gujarat

Employment Type: Full-Time

Overview

We are seeking a highly skilled Reinforcement Learning (RL) Research Engineer specializing in planning and control. The role focuses on designing learning-based planners and policies (RL, imitation learning, model-based) and integrating them with classical control approaches to enable safe, efficient, and robust autonomous operation across multiple domains including humanoids, AGVs, cars, and drones.

Key Responsibilities:

  • Develop and train policies from human demonstrations and teleoperation data.
  • Implement safe reinforcement learning approaches with constraints.
  • Design long-horizon planners using world models and uncertainty-aware control.
  • Implement safety shields, fallback controllers, and verify-before-deploy pipelines.
  • Collaborate with cross-functional teams to integrate RL policies with control systems.
  • Conduct sim-to-real transfer and ensure policies generalize in real-world settings.
  • Design reward functions and implement offline RL and behavioral cloning strategies.

Requirements

  • 4–8+ years of experience in RL and control systems.
  • Strong expertise in Model Predictive Control (MPC), Control Barrier Functions (CBFs), reachability analysis, or similar methods.
  • Master's or PhD in Robotics, Control, AI, or a related field.
  • Experience with sim-to-real transfer, reward design, offline RL, and behavioral cloning.

Benefits

  • Task success rate in target domains.
  • Rate of human or system interventions during execution.
  • Compliance with energy, jerk, and other control limits.
  • Minimization of constraint violations in real-world deployment.

Domain Notes

Humanoids:

- Stable locomotion and bimanual task RL.

AGVs (Autonomous Ground Vehicles):

- Navigation in mixed human zones, traffic rule compliance, and aisle etiquette.

Cars:

- Interactive merges, handling unprotected turns, and safe navigation in dynamic traffic.

Drones:

- Wind-robust flight, safe landing and perching maneuvers.

How to Apply

Interested candidates may apply by sending their resume and cover letter to

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