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. Building robots that operate reliably in these environments requires exceptional systems engineering across hardware and software.
As a Systems Software Engineer – Robotic Platform, you will own and guide development of the core robot platform, from firmware on peripheral devices to the Linux configuration that runs the robot’s compute stack. You’ll build robust drivers and interfaces for sensors, improve system reliability, and help the organization prototype and integrate new sensing and hardware for next-generation robots.
Your work will form the foundation on which autonomy, perception, and applications are built, ensuring our robots operate reliably at scale in real-world deployments.
Responsibilities
- Own and evolve core robot system foundations: device firmware interfaces, low-level drivers, Linux configuration, and deployment reliability
- Build and maintain robust sensor drivers and hardware interfaces with clear contracts and strong observability
- Lead efforts around sensor calibration, time synchronization, and data integrity across heterogeneous devices
- Improve reliability and reproducibility of system builds and deployments (e.g., containerization, deterministic builds, provisioning)
- Maintain system-level documentation and operational playbooks to improve debuggability and reduce time-to-fix
- Partner with autonomy/platform teams to ensure the system meets latency, throughput, and reliability requirements
- Contribute to architecture decisions that improve modularity, maintainability, and long-term scalability of the robot platform
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
- Experience with sensor calibration and sensor time synchronization
- Comfort with basic networking concepts relevant to robotic systems (latency, bandwidth, protocols, debugging)
- Experience with Linux-based IoT/robot deployments, including OTA or fleet update patterns in a Linux context
- Experience with reproducible build systems and environments (Docker, Nix, or similar)
- Bonus: experience with robot software stacks, ROS, controls, or on-robot performance/debugging
