Perception / Computer Vision Software Engineer

Figure is on a mission to develop and deploy general purpose humanoid robots for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are looking for passionate and motivated superstars to grow our world-class team. We are based in Sunnyvale, 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 AI 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.

Required Qualifications:

• 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.