Gritt Robotics Logo

Gritt Robotics

Robotics Software Engineer

Reposted 19 Days Ago
In-Office
South San Francisco, CA, USA
Mid level
In-Office
South San Francisco, 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 an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The founding team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.

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.

Similar Jobs

18 Days Ago
In-Office
130K-170K Annually
Junior
130K-170K Annually
Junior
Artificial Intelligence • Hardware • Productivity • Robotics • Software • Automation • Manufacturing
Develop, deploy, test, and support software for high-DOF robotic manufacturing systems used in government projects. Build algorithms for planning, learning, perception, and control; execute proofs of concept; prototype sensors, tools, and processes; and collaborate with systems, applications, and robotics software engineers. Maintain deployed software, rapidly iterate on the software stack, evaluate emerging robotics technologies, and transition R&D prototypes into production code.
Top Skills: C++Depth CamerasLidarPythonRos2Stereo Cameras
2 Days Ago
In-Office
118K-153K Annually
Mid level
118K-153K Annually
Mid level
Aerospace
Develop and maintain software for robotic platforms, motion-control systems, sensing systems, embedded interfaces, test environments, and production tools. Integrate software with motors, sensors, actuators, controllers, and industrial networks. Support simulation, hardware bring-up, integration, testing, deployment, troubleshooting, and production operations while collaborating with multidisciplinary engineering and manufacturing teams.
Top Skills: Automated TestingC++Ci/CdEmbedded SystemsGitIndustrial NetworksLinuxMachine VisionMotion-Control SystemsPythonReal-Time SoftwareRobotics PlatformsRosRos 2
One Month Ago
In-Office
Mountain View, CA, USA
Mid level
Mid level
Artificial Intelligence • Computer Vision • Machine Learning • Robotics • Defense • Manufacturing
Implement real-time motion control for an autonomous turret: convert vision outputs into precise, safe actuation via control loops, calibration, coordinate transforms, and motion safety constraints. Optimize low-latency performance and define robust software/hardware actuation contracts.
Top Skills: C++Computer VisionPythonReal-Time/Low-Latency Systems

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account