Autonomy Engineer

4 months ago

San Francisco, CA, USAEntry Level / Mid Level

Responsibilities

Develop autonomy and intelligence for robotic systems used in endovascular and hemorrhage-control procedures.
Build and evaluate deep learning models for anatomical understanding and robotic intervention strategies.
Work across perception, scene understanding, planning, control, simulation, and deployment on real robotic systems.
Define training and validation datasets, apply data augmentation, and select loss functions and evaluation metrics.
Conduct large-scale experiments to identify actionable improvements.
Develop high-quality software from design and implementation through testing and deployment.
Collaborate with machine learning engineers, roboticists, and clinicians to prototype, test, and deploy systems.

Bachelor’s degree with 4+ years of relevant industry experience, Master’s degree with 2+ years of relevant industry experience, or PhD with 0+ years of industry experience.
Expertise with Python.
Experience training image-based deep neural networks, including use of PyTorch or similar deep neural network libraries.
Experience with cloud-based data and training.
Experience with simulators such as MuJoCo or Isaac.
Experience developing high-quality software through design, implementation, testing, and deployment.
Preferred experience with robotics software such as ROS2, motion-planning algorithms, mathematical transforms, medical imaging data including X-rays, CTs, and MRIs, and sim-to-real development.
Willingness to learn, iterate quickly, and collaborate.

11-50 employees