Autonomy Engineer

The role

You will lead the development of autonomy and intelligence for the DARPA MASH program. You will work across the full stack of autonomy including perception, planning, control, and deployment on real robotic systems.

What you will do

• Lead the development of autonomy and intelligence for the DARPA MASH program
• Work across the full stack of autonomy from perception to deployment
• Leverage large-scale datasets to train and evaluate deep learning models
• Enable robots to understand anatomy and reason about intervention strategies
• Collaborate with machine learning engineers, roboticists, and clinicians to prototype, test, and deploy

Required qualifications

• Bachelor’s degree with 4+ years of relevant industry experience
• Master’s degree with 2+ years of relevant industry experience
• PhD and 0+ years of industry experience
• Expertise with Python
• Experience training image-based deep neural networks
• Experience with deep neural network libraries such as PyTorch
• Experience defining training and validation datasets
• Experience using data augmentations during training
• Experience selecting loss functions and metrics
• Experience with cloud-based data and training
• Experience conducting large-scale experiments to determine actionable improvements
• Experience with simulators, such as MuJoCo or Isaac

Nice to have

• Experience with robotics
• Experience with software, such as ROS2
• Experience with algorithms, such as motion planning
• Experience with math, such as transforms
• Experience with medical imaging data such as x-rays, CTs, and MRIs
• Experience bridging the sim-to-real gap

About the company

Remedy Robotics is a medical technology company developing robotic systems for endovascular intervention. It is headquartered in San Francisco.