Iris Automation Inc is a Y-Combinator and Series A start-up in the computer vision technology sector and preparing to unlock a $100B industry. Our core mission is to enable autonomous flights to perceive, understand, and navigate the world in which we live.
We are paving and leading revolutionary new ways for unmanned aerial systems to perceive and navigate the world. Currently, our researchers and engineers are building capabilities for commercial-grade drones to be completely autonomous, flying beyond-line-of-sight.
Unlocking an industry is challenging work. We have motivated, creative, and talented team members working together with combined experiences from NASA, Boeing, Airbus, Nvidia, and other leading tech startups. We take it on as a team, through collaboration and building our community both in and outside the office. We are a close-knit team of experts in our field - come and make history with us.
As a Computer Vision Engineer focusing on SLAM, you will be a meaningful leader in researching and implementing efficient path planning and navigation algorithms that are essential to autonomous flights with the Iris Automation Collision Avoidance system.
What You’ll Do:
Own the research and development of simultaneous localization and mapping features for the Iris Automation Collision Avoidance System.
Craft, implement and test computer vision algorithms.
Qualifications and Skills:
A PhD or Master's degree in a related field (mathematics, computer vision, machine learning/AI).
Minimum of two years of professional experience working with visual odometry or SLAM.
Extensive prior experience with 3D geometry and optimization in constrained environments.
Advanced proficiency with C++ programming.
Working understanding of GPU programming/CUDA.
Ability to quickly iterate real-world solutions based on theoretical understanding.
Familiarity with Linux environments, ROS, and OpenCV.
Experience with sensor fusion preferred.
Real passion for, and prior experience with, drones or mobile robotics.
We are an equal opportunity employer who values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity and/or expression, sexual orientation, age, marital status, veteran status, or disability status.