Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety…
Designs and trains large-scale video foundation models for humanoid robots, building pretraining pipelines and distributed training systems with Python and PyTorch to enable perception, prediction, and embodied reasoning.
Figure is an AI robotics company building autonomous humanoid robots. The Helix AI Engineer, Training Performance role focuses on optimizing large-scale distributed model training across 100k+ GPUs, writing CUDA/Triton kernels, and co-designing models and hardware to maximize training utilization.
Develops perception systems for humanoid robots, including computer vision, localization, and visuomotor policies, using 3D vision, SLAM, and vision-language models. Owns end-to-end lifecycle from ideation to deployment.
Designs and implements real-time localization, mapping, and state-estimation systems for Figure's humanoid robots, fusing camera, IMU, and encoder data using C++, SLAM, computer vision, and multi-sensor calibration.
Builds and maintains data infrastructure for Figure's humanoid robots, handling storage, compute, and data pipelines for AI training using Python, Linux, and databases like Postgres and Redis across on-premise and cloud environments.
As the founding Android engineer, you’ll own Figure’s consumer Android app end to end, from architecture to Google Play release. You’ll build the client in Kotlin and Jetpack Compose, integrating with proprietary humanoid robots and handling high volumes of data.
Builds and maintains Figure's in-house service, logistics, and operations software—including ticketing, fleet tracking, route planning, and inventory tools—using Python, TypeScript, Linux, and Kubernetes, working cross-functionally with service, logistics, and operations teams.
Senior Software Engineer on Figure's Middleware team, designing and building the low-latency, high-throughput in-house framework and infrastructure that runs on humanoid robots; collaborates with internal teams to improve abstractions and tooling using C++ and Python.
Builds backend services and infrastructure for Figure's consumer mobile app, owning auth/identity (with KYC), payments and billing, media delivery, notifications, and business dashboards, plus the cloud platform (AWS/GCP, Terraform, CI/CD) using Go or Python.
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