Perception / Computer Vision Software Engineer
Sunnyvale, CA, United States
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:
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
Requirements: 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
Bonus Qualifications: 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