Staff Simulation Software Engineer

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October 3

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Diligent Robotics

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Healthcare Insurance • Artificial Intelligence • Robotics

Diligent Robotics is a company that pioneers in integrating robotics into healthcare settings to improve efficiency and patient care. Their flagship robot, Moxi, assists hospital staff by fetching medications, labs, and supplies, significantly reducing the time healthcare professionals spend on non-clinical tasks. Diligent Robotics focuses on enhancing clinical workflows, addressing staff shortages, and ensuring better patient experiences through their innovative robotic solutions.

2 - 10 employees

Founded 2017

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

💰 $30M Series B on 2022-04

📋 Description

• Design and build simulation frameworks and tools to evaluate robot performance across diverse environments and use cases. • Develop realistic sensor, actuator, and physics models to replicate real-world robot interactions. • Integrate AI and autonomy software into simulation environments for validation and benchmarking. • Collaborate with perception, planning, controls, and hardware teams to define simulation requirements and ensure fidelity to real-world systems. • Automate large-scale simulation testing to assess performance, safety, and regression. • Analyze results, identify edge cases, and feed findings back into AI and system development. • Drive improvements in simulation infrastructure to increase scalability, reproducibility, and explainability. • Support hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing pipelines.

🎯 Requirements

• Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or related field (PhD a plus). • 5+ years of experience in simulation for robotics, autonomous vehicles, or related domains. • Strong software development skills in C++ and Python. • Experience with simulation platforms such as Unity, Unreal Engine, Gazebo, Isaac Sim, Webots or equivalent. • Background in modeling sensors (cameras, LiDAR, IMUs, etc.) and actuators for simulation. • Experience integrating autonomy stacks into simulation environments. • Familiarity with ROS/ROS2 and distributed robotics frameworks. • Strong debugging and problem-solving skills, including root cause analysis in complex systems. • Demonstrated ability to work cross-functionally with hardware, perception, and planning teams. • Bonus: experience with HIL/SIL test frameworks, reinforcement learning in simulation, or large-scale distributed testing.