Staff Robotics Software Engineer

Agility Robotics•San Jose, CA

36d

About The Position

We are looking for a Staff Robotics Software Engineer to join our Skills team and help mature the core software stack that powers Digit's autonomous behaviors. In this role, you will work across the entire skill stack-from robot API layers, dynamic skill execution, and behavior frameworks to task planning and fleet orchestration-to ensure our robot skills are reliable, scalable, and production-ready. You will build the infrastructure and foundational systems that allow Digit to execute complex workflows reliably at scale, across different robot generations.

Requirements

BS or MS in Computer Science, Robotics, or a related field.
8+ years of professional experience in robotics software engineering
Proficiency in Python and C++
Experience developing or maintaining robot behavior frameworks, robot APIs, task planning systems, or other robotics middleware/infrastructure.
Experience implementing and managing dynamic API discovery mechanisms to streamline service integration and improve system scalability.
A strong understanding of algorithms, data structures, and software architecture principles.
Demonstrated leadership or mentorship experience guiding other engineers and defining software architecture directions.

Nice To Haves

Experience designing and implementing one or more of the following for robotic systems: task planners, directed acyclic graph (DAG), behavior trees (BT), finite state machines (FSM), or other sequential decision-making frameworks.
Experience with planning and execution frameworks integrated with large language models (LLMs), vision-language models (VLMs), or learned planners.
Hands-on experience with task planning frameworks and libraries (e.g., PDDL-based planners, ROSPlan, or similar).
Experience integrating planning with behavior-execution frameworks such as BehaviorTree.CPP.
Experience integrating planning algorithms with perception (object detection, pose estimation, semantic segmentation) and real-time control on physical robots.
Practical understanding of robotic manipulation tasks (pick-and-place, palletization, bin-picking) and mobile robot navigation, with demonstrated ability to implement planning logic for these applications.
Experience with multi-robot coordination, fleet-level task allocation, or distributed task planning.
Familiarity with simulation platforms like Isaac Sim, MuJoCo, or Gazebo.
Experience contributing to or maintaining open-source task planning frameworks, or building internal libraries that improved reusability, testing, or developer experience.

Responsibilities

Design and implement frameworks and interfaces that enable developers, planners, and agents to reason about robot behaviors and ensure behavior sequences are reactive, safe, and reliable.
Implement and deploy automatic robot API discovery to allow seamless integration of heterogeneous robotic hardware into workflows.
Develop reactive, reusable robot behaviors with well-defined abstractions that make them scalable and easy to extend.
Implement task planning and orchestration logic that composes individual skills into higher-level workflows.
Integrate symbolic and learned task planning methods that reason over logical state and structured world representations, enabling context-aware and goal-directed autonomy.
Validate skills through simulation and hardware-in-the-loop testing to ensure reliability and robustness in production deployments.
Drive the long-term technical strategy for the skill architecture, ensuring it evolves cohesively with advances in learning-based control, planning, and AI-driven autonomy.
Mentor other engineers and champion best practices in software design, code quality, testing, and maintainability across the team.

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