Autonomy Engineer

The Role: We’re looking for an interdisciplinary engineer and researcher to lead the development of autonomy and intelligence for DARPA MASH (Medics Autonomously Stopping Hemorrhage) program. The goal of MASH is to enable autonomous robotic systems to rapidly control internal bleeding in environments where immediate access to expert surgical care is impossible. This role sits at the intersection of robotics, machine learning, simulation, and medical imaging. You will work across the full stack of autonomy—from perception and scene understanding to planning, control, and deployment on real robotic systems. You will leverage large-scale datasets to train and evaluate deep learning models that enable robots to understand anatomy, reason about intervention strategies, and safely operate a robot in highly constrained human vasculatures. This role is primarily focused on machine learning, but is interdisciplinary and will also involve simulation, medical imaging, and robotics. You will collaborate closely with other machine learning engineers, roboticists, and clinicians to rapidly prototype, test, and deploy. The ideal candidate is excited by challenging, open-ended technical problems and highly motivated by our ultimate mission: to save lives. You Have 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, including Deep neural network libraries such as PyTorch Defining training and validation datasets Using data augmentations during training Selecting loss functions and metrics Cloud-based data and training Conducting large-scale experiments to determine actionable improvements Experience with simulators, such as MuJoCo or Isaac Experience developing high-quality software, ranging from design and implementation to testing and deployment Eagerness to learn on the job, iterate fast, and collaborate

Nice to Haves: Experience with robotics software, such as ROS2 algorithms, such as motion planning math, such as transforms Experience with medical imaging data such as x-rays, CTs, and MRIs Experience bridging the sim-to-real gap (Approved for Public Release, Distribution Unlimited)