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Robotics Engineer III - Motion Planning

ArcBest
Fort Smith, USA
Full-time
Senior · 4+ years experience
Onsite
Discovered 1 months ago
C++PythonROS2CasADiACADOSLinux

Full Job Posting

  • Architect scalable motion planning frameworks for fleet-level AMR deployments.
  • Develop and refine AI-driven motion planning (reinforcement learning, imitation learning, deep MPC).
  • Implement real-time model predictive planners using CasADi, ACADOS, and convex/non-convex solvers.
  • Design and implement advanced fail-safe motion planning strategies, including autonomous re-routing, recovery-based motion primitives, and redundant planning checks.
  • Enhance multi-agent coordination strategies for large-scale robotic path planning and collision avoidance.
  • Decompose complex behaviors into modular, reusable tree structures.
  • Integrate graph-based, hierarchical, and predictive planning models for decision-making.
  • Deploy AI-based planning models (e.g., learning-based cost functions, uncertainty-aware planners).
  • Conduct large-scale simulation and on-robot validation to assess real-time system performance.
  • Optimize cost-aware, energy-efficient, and high-speed trajectory planning for AMRs.
  • Ensure robust software development, CI/CD implementation, and fault-tolerant motion control strategies.
  • Lead cross-functional collaborations and mentor junior engineers in robotics motion planning.
  • Other duties and projects, as assigned.
  • Master's Degree in Robotics, Engineering, Computer Science, or related field, required
  • PhD in Robotics, Engineering, Computer Science, or related field, preferred
  • 1 year as a Robotics Engineer II - Motion Planning or equivalent experience, preferred
  • 4 years of experience in robotics motion planning, AI-driven decision models, or multi-agent autonomy.
  • Expertise in motion planning algorithms (Hybrid A*, RRT*, ILQR, AI-driven planning). Upon Hire, required
  • Experience with CasADi, ACADOS, convex/non-convex optimization solvers. Upon Hire, required
  • Advanced proficiency in C++/Python, ROS2, and high-performance robotic software development. Upon Hire, required
  • Strong foundation in multi-agent fleet planning, reinforcement learning-based decision-making, and real-time control. Upon Hire, required
  • Proven leadership in large-scale robotic motion planning. Upon Hire, required
  • Strong research background with experience in industry robotics advancements. Upon Hire, required
  • Experience deploying robotic systems in real-world industrial or logistics environments. Upon Hire, preferred
  • Experience designing Behavior Trees (BTs) for high-level decision-making in autonomous systems. Upon Hire, preferred
  • Understanding of perception integration for planning in dynamic environments. Upon Hire, required
  • Strong mathematical foundation in optimization, graph theory, and control systems. Upon Hire, required
  • Active Learning
  • C++

• Communicating Complex Concepts

  • Disruptive Innovation
  • Linux
  • Programming

• Troubleshooting Technical Problems

  • Generally, 8:00 am - 5:00 pm with occasional irregular hours depending on workload.
  • Occasional (25%-50%) Potential testing and data collection at customer sites.
  • This is a salary position paid biweekly.

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