Volley Automation

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

Denver · Senior

Sponsorship not specifiedDetected 28 days ago

C++Distributed SystemsAlgorithmsGitAWSCloud PlatformsDockerLinuxEmbedded SystemsRoboticsMechanical DesignElectrical EngineeringSensorsCommunicationAdaptability

About the role

You'll work on challenging problems spanning multi-agent path planning, distributed robotic systems, real-time software, communications infrastructure, and system reliability.

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.
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.
Participate actively in technical planning, design reviews, backlog grooming, and development execution.
In this role, you will develop software that commands fleets of autonomous guided vehicles (AGVs) responsible for moving literally tons of mass in dense, dynamic environments.

Requirements

Experience with ROS2 and robotics software architectures.
Knowledge of path planning and search algorithms such as A*, Dijkstra, or related techniques.
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.
Experience using AI-powered development tools to improve engineering effectiveness.

Nice to have

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.

Skills

Our technology stack includes AGVs (robots), ROS2, Linux, IoT devices, PLCs, AWS services, and on-premise deployments and integrations.

Company info

Collaborate with customers and internal stakeholders to generalize planning and automation solutions across diverse deployment scenarios.

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This listing is sourced directly from Volley Automation's careers page and normalized into a canonical job model.