Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.
Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for Perception 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.
The US base salary range for this full-time position is between $220,000 - $350,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.