Are you interested in testing the algorithms we’ve developed for collision avoidance and navigation through reverse engineering how insect brains solve these problems?
We’re looking for a research engineer who is interested in joining our development team to work on a highly innovative approach to building autonomous systems in the Air and on the Ground.
You can find out more about the role and apply with a CV here: Research Engineer - Robotics verification and testing — Opteran Technologies
An overview of the role
- Build out of tooling / automation / DevOps to support testing of our autonomy system
- Perform functional, stress, and performance tests on multiple levels within the system including hardware-in-the-loop across supported platforms
- Identify effective test strategies for new features and design test plans accordingly
- Perform experimental evaluation of real world autonomous systems; study and interrogate these results against that predicted by simulation
- Investigate issues detected in the tests and work closely with the other research engineers to fix issues and validate software changes
- Build test and verification into continuous integration workflows spanning embedded hardware, photorealistic simulations, and experimental robotic platforms
About Opteran
Opteran moves beyond today’s Deep Learning AI to re-engineer 600 million years of evolution in insect brains onto a silicon chip. This breakthrough enables machines to see, sense, navigate and make autonomous decisions with a smaller, lighter and more efficient solution that operates off-network without training.
This is a different approach to autonomy, which doesn’t succumb to the problems of machine learning. We reverse engineer real brains to produce autonomous systems that are robust and hyper-efficient; we call this approach ‘natural intelligence’.