Senior Robotics Software Engineer (C++ / ROS2 / Motion Planning)

Responsibilities

• Develop and maintain software for Volley’s automated parking platform and robotic vehicle fleet.
• Design, implement, and optimize multi-agent planning and coordination algorithms for real-world robotic operations.
• Develop robust, scalable, and fault-tolerant software capable of managing tens of robots and thousands of parking spaces.
• Evaluate algorithm performance through large-scale simulation and cloud-based testing infrastructure.
• Support integration, testing, debugging, pilot deployments, and operational validation in live installations.
• Collaborate with electrical, mechanical, networking, and software teams on architecture and infrastructure decisions.
• Design deterministic and reliable software systems operating under real-time and resource-constrained environments.
• Define interfaces, communication mechanisms, and system architecture across embedded, robotics, and application-layer software.
• Participate actively in technical planning, design reviews, backlog grooming, and development execution.
• Collaborate with customers and internal stakeholders to generalize planning and automation solutions across diverse deployment scenarios.
• Leverage modern AI-assisted development tools and techniques to improve engineering productivity and software quality.

Requirements

• BS in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical discipline.
• Strong professional experience developing software in modern C++.
• Experience developing software on Linux-based systems.
• Experience with ROS2 and robotics software architectures.
• Knowledge of path planning and search algorithms such as A*, Dijkstra, or related techniques.
• Understanding of multi-agent planning, task allocation, MAPF (Multi-Agent Path Finding), MAPD, CBS, or related coordination problems.
• Experience designing deterministic software for systems with real-time requirements and constrained compute resources.
• Strong understanding of software architecture, concurrency, algorithmic complexity, and system performance.
• Experience with Git, Docker, and modern software development practices.
• Familiarity with Ethernet-based communication protocols, IPC mechanisms, and distributed systems.
• Strong communication skills, including requirements gathering, technical documentation, and cross-functional collaboration.
• Demonstrated ability to own features from design through deployment and operational support.
• Experience using AI-powered development tools to improve engineering effectiveness.

Preferred Qualifications

• Hands-on experience deploying and supporting robotic systems in production environments.
• MS or PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related field.
• Deep expertise in Multi-Agent Path Finding (MAPF) algorithms, including Conflict-Based Search (CBS) and related approaches.
• Experience with simulation and robotics visualization tools such as RViz, Foxglove, Gazebo, or equivalent.
• Experience with safety-critical systems and reliability engineering.
• Experience with real-time operating systems (RTOS).
• Experience with industrial and embedded communication protocols such as RS232, RS422, I2C, SPI, and JTAG.
• Experience with Hardware-in-the-Loop (HIL) testing and automated validation frameworks.
• Experience working with lidar, vision systems, environmental sensing, or other robotics sensors.