Join our robotics platform team to build and own the runtime infrastructure that makes real robots operate reliably. You will integrate firmware, sensors, cameras, and perception into Linux-based systems, design IPC and process architectures, and develop visualization and debugging tools that enable real-time observability, simulation parity, and robust deployment on physical robots.
Requirements: BS, MSc or PhD in Computer Science, Robotics, or related technical fields
Strong background in Linux systems programming, shell scripting, and process-level debugging
Solid understanding of real-time and distributed systems (latency, throughput, scheduling)
Fluency in Rust and C++/Python
Experience designing and debugging IPC systems (shared memory, ZeroMQ, DDS, gRPC, or similar)
Hands-on experience integrating cameras and high-rate sensors on Linux platforms (V4L2, GStreamer, libcamera, or equivalents)
Experience working with ROS or ROS2 in real robotic systems
Comfortable debugging multi-process, multi-threaded systems under timing and resource constraints
(+) Familiarity with profiling/debugging tools such as perf, gdb, strace, and system tracing tools
(+) Experience with real-time Linux or deterministic networking
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(+) Familiarity with URDF/MJCF/SDF and robotics simulation environments (MuJoCo, Isaac Sim, Gazebo)
- Own the runtime infrastructure that determines robot reliability and performance
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Work hands-on with real robots, sensors, and production systems
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Collaborate closely with embedded, perception, and control teams
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Competitive salary and meaningful equity
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Full health, dental, and vision benefits
- Design and maintain the robot runtime architecture including process lifecycles, IPC, and data flow
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Integrate embedded firmware, sensors, and cameras into Linux-based robotic systems
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Build and maintain real-time streaming and visualization tools for robot state, perception, and system health
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Develop deployment, configuration, and versioning pipelines for on-robot software
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Support simulation, hardware-in-the-loop, and sim-to-real deployment workflows
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Improve observability, fault detection, and debuggability of robot software stacks
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Collaborate closely with firmware, perception, and controls teams to define clean system interfaces
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Ensure reliability and performance of robot software under real-world operating conditions
