Hiring Project 4/5 - Embedded/Autonomy - Perception

South San Francisco, California, United States

Posted:7 days ago
Location:South San Francisco, California, United States
Job Ref:BH-24862
Job Type:Permanent
Salary:£180000 - £200000 per annum
Expiry date:11/29/2022
Contact:Ethan Marshall
Contact Email:ethan.marshall@source-technology.com
Software Engineer, Perception/ML/CV 

About The Company
An Agricultural hybrid autonomy and tele-assist service platform that turns tractors and other equipment into autonomous machines. A robust sensor suite and custom software stack enable remote modes of operation with a higher margin of safety than conventional equipment. They will address both local agriculture skilled labor shortages and broader land maintenance operations, including wildfire prevention through land clearing. 

About the role
 You will be responsible for the perception, ML, and CV software of new and existing autonomous vehicle systems through the entire product lifecycle. 
    • Apply first principles, applied theory and machine learning to solve challenging perception problems for autonomous systems (object detection, semantic segmentation, instance segmentation, dense depth, optical flow, tracking, etc.)
    • Refine and optimize models for low-latency on embedded hardware
    • Characterize and quantify the performance of the vision systems 
    • Research, prototype, and experiment with various sensors, algorithms and approaches
    • Architect, design, and implement software applications, infrastructure, and tools
    • Write performant, well-tested software, improve code quality through code and design reviews
What you’ll bring:
    • Strong proficiency in C++11 (or newer) development for resource constrained embedded systems
    • 5+ years of experience in software development for problems involving state of the art computer vision, machine learning and robotic perception techniques
    • Experience handling large datasets efficiently
    • Experience curating synthetic and real-world image datasets
    • Experience building algorithms for various hardware sensors 
    • Strong mathematical skills and understanding of probabilistic techniques
    • Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate with interdisciplinary stakeholders

Looking forward to your application! 

Apply now