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Robotics Engineer III - Motion Planning

ArcBest

Fort Smith, AR · HybridJobSeen 1w agoSeen in employer's feed 1w ago

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At a glance

Compensation
No compensation found
Location
Fort Smith, ARHybrid
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Master's degree

Job overview

The Robotics Engineer III leads development, optimization, and large‑scale deployment of motion‑planning architectures for fleet‑wide autonomous mobile robot navigation, focusing on high‑performance AI‑driven planning, fail‑safe recovery, and multi‑agent coordination across logistics operations.

Skills & qualifications

RequiredNice to have

Skills

Motion Planning AlgorithmsCasADiACADOSConvex Non Convex Optimization SolversC++PythonROS2Multi Agent Fleet PlanningReinforcement LearningReal Time ControlLeadership in Large Scale Robotic Motion PlanningResearch Background in Industry RoboticsBehavior TreesPerception IntegrationOptimizationGraph TheoryControl SystemsActive LearningCommunicating Complex ConceptsDisruptive InnovationLinuxProgrammingRobotics Computer Controlled MachineryTroubleshooting Technical Problems

Qualifications

Master's Degree in Robotics Engineering Computer Science or Related FieldPhD in Robotics Engineering Computer Science or Related Field4 Years of Experience in Robotics Motion Planning AI Driven Decision Models or Multi Agent Autonomy1 Year as a Robotics Engineer Ii Motion Planning or Equivalent Experience

Full job description

Job 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.

About Us

ArcBest® (Nasdaq: ARCB) is a multibillion-dollar integrated logistics company that helps keep the global supply chain moving. Founded in 1923 and now with 14,000 employees across 250 campuses and service centers, the company is a logistics powerhouse, using its technology, expertise and scale to connect shippers with the solutions they need — from ground, air and ocean transportation to fully managed supply chains. ArcBest has a long history of innovation that is enriched by deep customer relationships. With a commitment to helping customers navigate supply chain challenges now and in the future, the company continues to invest in purpose-built technology such as ArcBest View™, its digital logistics platform that brings quoting, booking, shipment visibility and reporting into one connected experience.

An Equal Opportunity Employer M/F/Vet/Disability

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