Perception / Computer Vision Software Engineer - Helix Team

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: Requirements: Bonus Qualifications: 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. - 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: San Jose, CA

Salary range [USD annually]: None - None