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
