Robotics Systems Administrator
About The Position
Responsibilities Autonomous Systems Development Design and implement SLAM, motion planning, and diagnostic modules for robotics platforms. Develop algorithms for Field of View optimization, sensor calibration, and feature detection. Integrate LiDAR, cameras, GPS, IMUs, and robotic platforms. Simulation and Testing Build and manage Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) test environments using Isaac Sim, Gazebo, or Unity. Create synthetic datasets and domain-randomized simulations for model validation. Conduct benchmarking and validation of perception pipelines. AI/ML Integration Develop and train neural networks for segmentation, object detection, and human recognition. Implement reinforcement learning models for robot manipulation and control. Apply ML frameworks such as TensorFlow, PyTorch, and TAO Toolkit. Software Engineering and Deployment Develop in Python, C++, and Bash for robotics, ML, and system integration. Build ROS2 diagnostic and monitoring tools to improve system reliability. Containerize applications with Docker and deploy across Linux/Windows systems and cloud environments (AWS, Azure). Product Engineering and Leadership Lead small cross-functional teams to transform POCs into production-ready applications. Optimize systems for performance, scalability, and reliability using cloud-native tools. Collaborate with stakeholders to translate research outcomes into deployable products.
Requirements
- Programming: Python, C++, Java, Bash.
- Frameworks/OS: ROS2, Linux, Docker, Kubernetes, Django, Windows.
- SLAM/Localization: FAST-LIO, LIO-SAM, GTSAM, MMDetection3D.
- Planning & Control: Nav2, MoveIt.
- AI/ML: TensorFlow, PyTorch, LLMs, Transformers, Q-learning.
- Simulation: Isaac Sim, IsaacLab, Gazebo, Unity.
- Cloud Platforms: AWS, Azure.
- Tools: Git, CI/CD pipelines, container orchestration.
Responsibilities
- Design and implement SLAM, motion planning, and diagnostic modules for robotics platforms.
- Develop algorithms for Field of View optimization, sensor calibration, and feature detection.
- Integrate LiDAR, cameras, GPS, IMUs, and robotic platforms.
- Build and manage Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) test environments using Isaac Sim, Gazebo, or Unity.
- Create synthetic datasets and domain-randomized simulations for model validation.
- Conduct benchmarking and validation of perception pipelines.
- Develop and train neural networks for segmentation, object detection, and human recognition.
- Implement reinforcement learning models for robot manipulation and control.
- Apply ML frameworks such as TensorFlow, PyTorch, and TAO Toolkit.
- Develop in Python, C++, and Bash for robotics, ML, and system integration.
- Build ROS2 diagnostic and monitoring tools to improve system reliability.
- Containerize applications with Docker and deploy across Linux/Windows systems and cloud environments (AWS, Azure).
- Lead small cross-functional teams to transform POCs into production-ready applications.
- Optimize systems for performance, scalability, and reliability using cloud-native tools.
- Collaborate with stakeholders to translate research outcomes into deployable products.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
