Systems Test Engineer

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in Sunnyvale, CA and require 5 days/week in-office collaboration. Figure’s vision is to deploy autonomous humanoids at a global scale. Our AI team is looking for Localization and Mapping Software Engineers to empower Figure humanoid robots to perform highly dynamic operations in demanding real-world environments. Responsibilities: Requirements: Bonus Qualifications: - Develop novel computer vision formulations, models, and algorithms for a wide variety of tasks - Own the full development life cycle from data preparation to model deployment - Perform training of multi-task deep neural networks - Design and build data and evaluation pipelines - Engineer and ship high quality, reliable software that will be deployed to the real world - Collaborate with other Figure team members to develop and continuously improve the full autonomy stack - Extensive experience in production-level software & ML engineering and best practices - “White-box” understanding of deep learning: model details, loss formulations, and training algorithms - Strong mathematical fundamentals in probability, optimization, and linear algebra - Domain expertise in at least one of the following areas: 3D reconstruction, depth estimation, neural rendering, object detection, tracking & state estimation, instance and semantic segmentation - Comfortable with fundamental geometric concepts in computer vision, such as perspective transformation, pinhole camera model, and epipolar geometry - Extensive experience with one of the major deep learning frameworks, preferably PyTorch - Capable of quickly writing massive amounts of high quality, well-tested, perception software - Thrive in a high pace environment, where solutions are often unclear and require exploration - Passionate about building humanoid robots - Experience with CUDA and GPU programming - Experience with scalable data engineering toolchains such as Spark,Ray, SQL - Experience in neural network deployment toolchain and techniques, such as TensorRT and model quantization - Publication record of developing and deploying perception solutions

Location: Sunnyvale, CA

Salary range [USD annually]: None - None