Cardiovascular disease is the #1 cause of morbidity and mortality in the world. Much of this could be prevented with better access to specialist care. Take stroke as an example: any delay in treatment can lead to permanent disability or death. However, due to a lack of specialist surgeons, the most effective intervention can only be performed in 2% of US hospitals. For patients who present to one of the 98% of hospitals that do not offer the surgery, treatment is either significantly delayed or not offered at all because timely transfer is not feasible.
Our mission is to bring state-of-the-art vascular intervention to anyone, anytime, regardless of their location. Our team of medical clinicians, roboticists, and machine learning experts are working to bridge this gap by building the world’s first remotely-operated, semi-autonomous endovascular surgical robot.
We’ve already done what nobody else could—using our system, doctors from around the world were able to remotely perform this procedure from as far as 8000 miles away. We have now successfully performed first-in-human cases, including a remotely operated procedure, demonstrating the potential of our technology to revolutionize access to life-saving interventions. We now need your help to bring this technology out of the laboratory and into hospitals everywhere.
We’re looking for an interdisciplinary engineer who 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’ll leverage large-scale simulated and real-world datasets to train and evaluate deep learning models that enable robots to understand anatomy, reason about intervention strategies, and safely operate in highly constrained environments.
You will collaborate closely with roboticists, machine learning engineers, clinicians, and hardware teams to rapidly prototype, test, and deploy new capabilities. The ideal candidate is excited by hard, open-ended technical problems and is comfortable moving fluidly between research and production engineering.
Your work will directly contribute to building autonomous systems capable of delivering life-saving interventions when and where human specialists are unavailable.
One of
Bachelor’s degree and 4+ years experience
Master’s degree and 2+ years experience
PhD and 0+ years 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 robotics
software, such as ROS
algorithms, such as motion planning
math, such as transforms
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
Experience with medical imaging data such as x-rays, CTs, and MRIs
Experience bridging the sim-to-real gap
Experience with reinforcement learning
Remedy Robotics exists to bring flawless, immediate, endovascular intervention (EI)—treatment for stroke, heart attack, bleeding, aneurysmal disease, pulmonary embolism and more— to every patient worldwide. Remedy is the only company in the world to have performed:
- Completely robotic neurointerventional procedures in humans from start to finish.
- Completely remote robotic neurointerventional procedures in humans from from start to finish.
- Autonomous endovascular navigation.
A few key principles underlie our work. We strongly believe that:
- EI is optimizable. Tool movements should be deliberate and efficient. Procedures should be fast and effective. Complications should be avoided without exception.
- All patients at elite US institutions deserve access to flawless EI without delay. But so do all patients at smaller US community hospitals. And so do all patients in Kinshasa and Port Moresby and Alice Springs and anywhere in the world.
- The world's finest technology and technologists should focus on advancing our health and wellbeing. They belong at Remedy Robotics.
