What we’re doing isn’t easy, but nothing worth doing ever is.
We envision a future powered by robots that work seamlessly with human teams. At Diligent Robotics, we build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic, human-filled environments.
Diligent is one of the only companies in the world operating a production fleet of mobile manipulation robots in real environments. Every day, our robots work alongside hospital staff, generating the real-world data needed to advance the next generation of Physical AI. If you’re excited about building autonomy that actually works outside the lab, this is one of the most interesting places you can do that work.
As a Software Engineer – Robotic Applications, you will help strengthen and extend our core robotics platform, from task management and behavior orchestration to motion planning, localization, and controls. Working closely with our Embodied AI team, you will deploy, integrate, and evaluate autonomy models on real robots operating in hospitals. This work will include one of the first production-scale deployments of Vision-Language-Action (VLA) models and AI-generated manipulation behaviors, bringing the latest advances in embodied AI into real-world operation.
Your work will directly impact how robots behave in the real world, helping us continuously improve the reliability, robustness, and usefulness of autonomy in complex human environments.
Responsibilities
- Design, implement, and maintain core robotics platform subsystems (task management, behavior systems, planning, localization, control)
- Collaborate with Embodied AI partners to deploy, evaluate, and iterate on autonomy models in real robotic applications
- Integrate emerging components (e.g., world models) into production robotic workflows with a focus on reliability and observability
- Build test harnesses, regression coverage, and debugging tools to ensure high confidence releases and fast iteration cycles
- Contribute to architecture decisions that improve modularity, testability, and long-term maintainability of the robotics stack
- Mentor teammates and raise the bar on engineering quality, reliability, and operational excellence
Basic Qualifications
- Undergraduate or graduate degree in Robotics, Computer Science, Electrical Engineering, or related field
- 5+ years of professional software engineering experience, ideally in robotics, autonomous vehicles, or other complex cyber physical systems
- Strong proficiency in C++ and Python
- Core robotics expertise in at least one major domain (e.g., planning, localization, controls, behavior systems, task execution)
- Experience shipping software on real robots and debugging issues that emerge in unstructured, real-world environments
- Strong systems thinking and comfort working across interfaces between autonomy, platform infrastructure, and operational needs
- Excellent cross functional communication skills and a bias toward pragmatic solutions
