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.
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:
Collaboration and Communication - Vaux
Execution and Ownership - Vaux
Impact - Vaux
Technical Leadership - Vaux
Technical Skills - Vaux
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.
Numbers & Facts
Location
Boston, MA
Skills
Algorithmsunmatched
Artificial Intelligence (AI)unmatched
Aviation Industryunmatched
C++ Programming Languageunmatched
Computer Scienceunmatched
Computer Skillsunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Control Systemsunmatched
Cost Controlunmatched
Cross-Functionalunmatched
Customer Relationsunmatched
Data Collectionunmatched
Energy Efficiencyunmatched
Graph Searchunmatched
Graph Theoryunmatched
Leadershipunmatched
Logisticsunmatched
Mathematicsunmatched
Mentoringunmatched
Motion Controlunmatched
Performance Tuning/Optimizationunmatched
Predictive Modelingunmatched
Python Programming/Scripting Languageunmatched
Reinforcement Learningunmatched
Roboticsunmatched
Search Engine Optimization (SEO)unmatched
Simulationunmatched
Software Developmentunmatched
Strategic Planningunmatched
Supply Chainunmatched
Supply Chain Managementunmatched
Technical Leadershipunmatched
Test Dataunmatched
Vehicle Fleetsunmatched
Willing to Travelunmatched
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