Job Summary

May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists, perception, behavior, AI, and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of perception engineers with a background in robotics or autonomous vehicles.

Essential Responsibilities

• Collaborate with other perception and robotics engineers to design, implement, test, and deploy robust, generalizable perception solutions for autonomous vehicles
• Develop, test, and deploy software in C/C++/CUDA
• Satisfy team code quality activities including design and code reviews 
• Independently conduct  extensive testing to validate features and satisfy releases schedule
• Support development relate to data, development, and ML pipeline

Skills and Abilities

Success in this role typically requires the following competencies:

• Familiar with ML development cycle, deployment, and optimization
• Familiar with data: data pipeline, data balancing, data mining, and data driving performance improvement
• Familiar with testing framework and workflow
• Excellent attention to detail and rigorous testing methodology
• Exceptional written and verbal communication skills and team leading abilities

Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required

• Bachelor’s degree in Robotics, Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)
• A minimum of 3+ years of industry experience working on real-world robot perception systems (should have implemented at least two commercial projects working at a systems-level, developing perception software as part of a larger robotics system) 
• Strong programming skills in C/C++/Python, software development in Linux environment
• Strong experiences in ML/DL development with PyTorch/TensorFlow
• Experience working on a combination of the following areas:
• Object Detection in Lidar, Vision, and Radar
• Semantic Segmentation in Vision and Lidar
• Real-time Computer Vision
• Multi-target Tracking
• Sensor Fusion
• Localization and Mapping
• Machine Learning applied to Perception and Robotics problems
• Computational Geometry
• Strong programming skills in C/C++ and experience with software development in a Linux environment
• Familiarity with standard development tools such as git, valgrind, and gdb

Desirable

• Masters or PhD in Robotics, Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)
• Strong background in one of the robot perception areas discussed above as demonstrated by developing and delivering to fielded robots multiple capabilities that solve critical problems in perception
• Demonstrated ability to mentor and support more junior engineers in learning and contributing to robotics development and testing
• Experience with python, machine learning software frameworks, and GPU programming in CUDA or related higher-level languages
  
  

Physical Requirements

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use

Travel required? -  Moderate: 11%-25%