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Gritt Robotics

Robotics Software Engineer

Reposted 4 Days Ago
In-Office
Belmont, CA, USA
Mid level
In-Office
Belmont, CA, USA
Mid level
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.
The summary above was generated by AI

Gritt is developing physical AI to automate the construction of large-scale infrastructure around the globe. Gritt’s systems are already deployed commercially in difficult outdoor environments, and are helping to build critical energy infrastructure. The founding team comprises experts in robotics and AI from Carnegie Mellon, Stanford and MIT. Gritt is a Series A company backed by marquee VCs.

Role: Robotics Software - Architecture

Location: SF Bay Area (in-person)

About the role

We’re looking for an experienced Robotics Software Engineer to join our team. As an early member, you will play a pivotal role in architecting scalable software for our robots. You will work on building robust and efficient frameworks to support real-time robotics applications. You'll need to thrive in a fast-paced startup environment where you'll wear multiple hats and have a direct impact on our product's evolution. Ideally, you have a proven track record of developing and deploying high-performance software in production, and you're passionate about pushing the boundaries of what's possible in robotics with AI.

What you’ll get to work on

  • Develop and deploy robust architectures and frameworks for robotics.

  • Help drive our technical approach, with particular focus on real-world deployments.

  • Drive system performance and efficiency by optimizing software and communication.

  • Optimize the integration of multiple sensing modalities (e.g. cameras, LIDAR, tactile).

  • Develop scalable techniques for managing large amounts of data in real-time.

  • Incorporate offline and online tools for profiling, memory-management and visualization.

  • Contribute across the autonomy stack.

  • Collaborate with other teams in the company.

What we look for

  • Degree in computer science, robotics, vision, mechanical engineering, electrical engineering or other engineering disciplines (or equivalent experience).

  • 4+ years of hands-on experience deploying high-performance software in production for robotics applications.

  • Experience working with autonomy functions including perception, planning, control, simulation.

  • Experience with robotics frameworks like ROS2.

  • Experience working with robotics visualization infrastructure (e.g. Isaac Sim, Gazebo).

  • Proficient with C++ and comfortable with Python/Rust.

  • Should be comfortable taking ownership of tasks with light supervision.

  • Must have excellent problem-solving skills.

  • Legally authorized to work in the United States.

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