Avatar Robotics Logo

Avatar Robotics

Robotics Software Engineer

Reposted 18 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
Develop and maintain core robot software for warehouse fleets using ROS 2, C++/Python. Integrate sensors, implement state estimation, localization, navigation, and motion control. Build and test in simulation and hardware-in-the-loop, debug physical robots, optimize onboard compute, and support deployments at customer sites.
The summary above was generated by AI
Overview
We're hiring a Robotics Software Engineer to develop the real-time systems that power our robots in US warehouses. You'll build the core robot software that bridges hardware, teleoperation, and autonomy—from motion control and sensor integration to fleet coordination. Your work will enable remote operators to control robots seamlessly while collecting the data that drives our path to autonomy.

What we do
Avatar Robotics is building flexible robot fleets to revolutionize industrial work across the country. We're on a mission to make every tedious and dangerous warehouse/factory job virtual, safe, and semi-autonomous.

With proven AI approaches and long distance teleoperation, you'll join a team that deploys a physical work solution that's scalable now, not later. We envision a world where millions of machines will make our goods and consumables more affordable and accessible than ever, while critical workers operate these robot fleets from the comfort of their homes.

At Avatar Robotics, you'll create the workforce of the future—in one of the largest markets ($1T+ manual labor market in the US alone).

We're a small but powerful team at the early innings of deploying thousands of units into facilities worldwide.

What you'll do
  • Develop core robot software using ROS 2, C++/Python for production warehouse environments.
  • Integrate and optimize hardware (LiDAR, cameras, IMUs) and tune motion control for mobile manipulators.
  • Implement reliable state estimation, localization, and navigation across varied facility layouts.
  • Design, maintain, and write testable code for simulation (Gazebo, Isaac Sim), hardware-in-the-loop, and production.
  • Debug complex issues on physical robots in warehouse conditions and optimize onboard compute performance.

What you bring
  • 3+ years of experience with ROS/ROS 2 and C++ or Python in production robotics systems.
  • Strong understanding of real-time systems, control theory, and hardware integration/debugging in unstructured environments.
  • Familiarity with motion planning (MoveIt, Nav2), perception stacks, version control (Git), and CI/CD.
  • Bonus: Background in warehouse automation, SLAM, sensor fusion, or onboard compute optimization.

Additional Notes
  • Our team develops on physical robots in person—expect hands-on work involving hardware
  • Need to be located or willing to relocate to San Francisco, CA
  • Travel to customer warehouse sites for deployment and testing  
Come join us in building a new global economy, where anyone can do manual work remotely and with robo-scale. Together, we can make goods and resources more affordable and available than they’ve ever been, for everyone on Earth.

Similar Jobs

Yesterday
In-Office
Mountain View, CA, USA
Mid level
Mid level
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
6 Days Ago
In-Office
134K-175K Hourly
Senior level
134K-175K Hourly
Senior level
Artificial Intelligence • Hardware • Productivity • Robotics • Software • Automation • Manufacturing
Design, implement, and deploy production-grade software and algorithms for high-DOF robotic systems in manufacturing. Work spans perception (3D reconstruction, segmentation), planning, control, and low-latency sensor interfaces. Support application teams and on-site debugging for POCs and deployments, stay current with research, and deliver robust, GPU-accelerated, production-ready systems.
Top Skills: C++Computer VisionDynamicsGpu ProgrammingHardware AccelerationKinematicsMotion PlanningMulti-Modal SensingPerceptionPythonRos2
Yesterday
In-Office
Santa Clara, CA, USA
205K-235K Annually
Senior level
205K-235K Annually
Senior level
Robotics • Industrial • Automation
Design, implement, test, and maintain production embedded C++ firmware and device drivers for robots. Own full software lifecycle, ensure time-critical reliability and safety, lead technical investigations, mentor engineers, and collaborate with hardware, systems, controls, safety, and test teams.
Top Skills: ActuatorsAutosarC++Ci/CdCommunication ProtocolsDevice DriversDiagnosticsEmbedded DebuggingEmbedded LinuxEmbedded Operating SystemsFreertosHardware Bring-UpHardware-In-The-Loop (Hil)InterruptsMemory ManagementMicrocontrollersMotor ControlPeripheralsQnxRtosSensorsSystems-On-ChipZephyr

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