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 solving the hardest problems in robotics, where simulation meets real-world deployment, this is the job for you.
As a Senior Software Engineer – Simulation / Support, you will accelerate the effectiveness of our engineering organization. This hybrid role spans developer tooling, software support and triage, and simulation infrastructure. You will help engineers build better software, faster, while strengthening the reliability and debuggability of our robotics stack in production.
You will develop state-of-the-art infrastructure to test and validate Physical AI models, and help bridge the gap between simulation and reality by improving synthetic data and scenario generation with real-world data from our growing fleet of operational robots.
Responsibilities
- Design and build tools that improve productivity and debugging across the robotics software stack
- Develop and maintain simulation infrastructure used for testing autonomy, navigation, perception, manipulation and system level behaviors
- Partner with autonomy, perception, platform, and infrastructure teams to integrate simulation into CI pipelines and validation workflows
- Create reproducible test harnesses and simulation scenarios that mirror real world operational edge cases found in our customer environments
- Support release readiness by strengthening automated validation, regression testing, and scenario based simulation coverage
- Contribute to architecture decisions that improve modularity, testability, and long term maintainability of the codebase
- Evaluate and integrate third party simulation frameworks or build custom simulation tooling as needed
- Mentor engineers on best practices in testing, debugging, observability, and system design
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/or Python
- Experience with robotic middleware such as ROS or similar distributed systems frameworks
- Experience developing or extending simulation environments, such as Gazebo, Isaac Sim, Mujoco, or custom in house engines
- Experience debugging distributed systems and working with real world hardware
- Strong understanding of software architecture, systems design, and scalable tooling
- Familiarity with CI/CD systems and automated testing frameworks
- Comfort working across the stack, from low level systems to higher level autonomy behaviors
- Excellent cross functional communication skills and a bias toward pragmatic solution
