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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

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