SummaryLocation Fort Smith, AR - Technologies Lab
Workspace On-Campus
Pay Type Salary, Full-Time
Job ID 29568
Share this jobJob Description The Robotics Engineer III - Motion Planning leads the development, optimization, and large-scale deployment of motion planning architectures for fleet-wide AMR navigation. This position focuses on high-performance optimization, AI-driven behavioral planning, fail-safe recovery strategies, and large-scale robotic coordination. The Robotics Engineer III - Motion Planning designs and refines graph search, optimization-based planners, and reinforcement learning-based motion strategies while ensuring seamless integration with perception and real-time control.
Responsibilities - 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.
Requirements Education:
- Master's Degree in Robotics, Engineering, Computer Science, or related field, required
- PhD in Robotics, Engineering, Computer Science, or related field, preferred
Experience:
- 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.
Computer Skills:
- 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
Additional Requirements:
- 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
Competencies:
- Active Learning
- C++
- Communicating Complex Concepts
- Disruptive Innovation
- Linux
- Programming
- Robotics/Computer Controlled Machinery
- Troubleshooting Technical Problems
Other Details Work Hours:
- Generally, 8:00 am - 5:00 pm with occasional irregular hours depending on workload.
Travel Requirements:
- Occasional (25%-50%) Potential testing and data collection at customer sites.
Compensation:
- This is a salary position paid biweekly.
