Description: Skyline Nav AI, Inc. is a well-funded, commercially successful scale-up focused on revolutionizing visual navigation technology as an alternative to GPS, for our commercial and military customers. We are seeking highly motivated working professionals and recent graduates (PhD's/Master's/Bachelor's) who are passionate about computer vision, drones, robotics and AI to join our team.
As a Staff Engineer, you will be responsible for developing and productionizing computer vision algorithms and machine learning models to help our technology achieve high-accuracy visual navigation. This includes developing new algorithms, as well as optimizing existing methods for real-time use on edge-devices such as aerial and ground robots, and building the next generation of robotics platforms. While this is an in-person role in the Greater Boston area, some remote flexibility is available.
Requirements:
1. Candidate must be a US citizen, eligible for US Department of Defense Security Clearance
2. B.S./M.S./Ph.D. degree in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics or related fields
3. Strong programming skills in Python and C++
4. Proficient working with computer vision and machine learning concepts
5. Ability to work in fast-paced dynamic scale-up environment
6. Ability to demo progress of next generation robotics platforms in-person on a daily basis in Massachusetts
Preferred:
- Experience with visual navigation or similar technologies
- Knowledge of drones and autonomous vehicle systems
We don't use automated chatbots to review applicants. Every applicant is reviewed by our leadership team. We typically get back to candidates within 24 hours of applying.
If you are passionate about robotics and want to make an impact in this exciting and rapidly growing industry, we would love to hear from you. We offer competitive compensation packages, unlimited paid time-off and opportunities for growth within our company.
If you require any special accommodations to participate in this application process, please do not hesitate to email us at careers@skylinenav.com so we can assist you.
To be considered for this role, please complete this brief application form.