Conduct security assessments of applications, embedded systems, back-end services, and business integrations, as well as build tooling for a secure development lifecycle. Design technical solutions to mitigate security weaknesses on the robot and our service stack.
Develop, train, and deploy reinforcement learning algorithms for whole body control. Determine the observations, actions, and model types that unlock maximum performance. Identify and close the most important sim-to-real gaps.
Design and implement dual-tier state estimation algorithms in modern C++: low-latency, real-time filters for streaming teleoperation and batch optimization/smoothing routines for high-accuracy offline dataset generation.
Design, pilot, and implement central logging and alerting systems to detect malicious activity on Figure's infrastructure, including endpoints, networks, labs, and cloud environments.
Implement improvements to our existing end of line automation software. Use results from full subassembly validation campaigns to write automation tests for new hardware from scratch.
Design and validate EOL testers for various systems of the Humanoid like computing, cameras, power distribution, batteries, sensors, radio devices, and actuators.
Own the on-board inference architecture — mapping models to available accelerators (NPU, GPU, DSP, CPU) based on latency, power, and memory budgets.
Design and build the core framework and infrastructure the robot runs on. Work directly with client teams to understand how they use it and where it gets in their way. Turn that understanding into better abstractions and tooling.
Implement improvements to our existing suite of service and fleet software.
Own gear design end-to-end: system-level sizing, macro and micro geometry definition, rating and life analysis, prototyping, validation, and ramp to mass production.
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San Jose, USA
Fontana, CA