Gritt Robotics

United States
14 Total Employees
Year Founded: 2023

Jobs at Gritt Robotics

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3 Days AgoSaved
In-Office
Belmont, CA, USA
Artificial Intelligence • Robotics • Software • Energy • Renewable Energy
Seeking a Perception ML Engineer to develop and deploy advanced perception models for robotics, focusing on manipulation and navigation in dynamic environments.
3 Days AgoSaved
In-Office
Belmont, CA, USA
Artificial Intelligence • Robotics • Software • Energy • Renewable Energy
The Planning & Controls Engineer will develop and deploy planning and control systems for robotics in outdoor environments, working on trajectory generation and real-time control techniques.
3 Days AgoSaved
In-Office
Belmont, CA, USA
Artificial Intelligence • Robotics • Software • Energy • Renewable Energy
The ML & Cloud Infrastructure Engineer will develop scalable AI and data pipelines, deploy monitoring and CI/CD pipelines, and optimize performance for cloud-based ML applications.
3 Days AgoSaved
In-Office
Belmont, CA, USA
Artificial Intelligence • Robotics • Software • Energy • Renewable Energy
The Mechanical Engineer will integrate robotic systems onto heavy vehicles, focusing on design, environmental resilience, and field deployment for various construction tasks.
3 Days AgoSaved
In-Office
Belmont, CA, USA
Artificial Intelligence • Robotics • Software • Energy • Renewable Energy
Lead mechanical integration for robotic platforms onto heavy mobile bases. Design rugged systems for outdoor tasks, manage integration of payloads, and ensure reliability in diverse environments.
16 Days AgoSaved
In-Office
Belmont, CA, USA
Artificial Intelligence • Robotics • Software • Energy • Renewable Energy
Develop and deploy state-of-the-art physical AI for outdoor robotics, focusing on perception, planning, control, simulation-driven training, multi-sensor integration, data pipelines, and GPU-optimized training and inference.
16 Days AgoSaved
In-Office
Belmont, CA, USA
Artificial Intelligence • Robotics • Software • Energy • Renewable Energy
Lead development of scalable simulation and training infrastructure for robot learning. Implement high-fidelity physics, handle multimodal sensor data, build tools for large-scale RL/imitation learning, and optimize software for GPU parallelization. Help shape AI capabilities and grow into leadership roles.