Senior Robotics Engineer - LIDAR/Sensor Fusion

As a Senior Robotics Engineer - LIDAR/Sensor Fusion at May Mobility, you will be responsible for leading the design and solution of complex problems in vehicle autonomy. You will play a crucial role in the development of future autonomy systems and will be involved in various aspects of the system, including vision, LIDAR, RADAR, decision-making, control, and more. Your role will involve collaborating with other engineers, developing software, conducting code reviews, and providing technical guidance. This is an opportunity to make a significant impact in the field of autonomous vehicles and contribute to solving real-world problems.

• Collaborate with other machine learning and robotics engineers to design, implement, test, and deploy robust, generalizable perception solutions for autonomous vehicles
• Work independently with cross-functional teams to develop software and system requirements
• Develop, test, and deploy software in C/C++/CUDA
• Lead team code quality activities including design and code reviews
• Track and trend technical performance of the system in the field
• Provide technical guidance to Technical Support Team on issue diagnosis and resolution
• Implement object detection/segmentation/tracking in Lidar, Vision, or LiDAR-Camera sensor fusion
• Apply machine learning or deep learning technologies to LiDAR or Sensor Fusion
• Analyze large-scale data driving and data analysis system to understand LiDAR, Vision, Sensor Fusion system
• Utilize programming skills in C/C++ and experience with software development in a Linux environment
• Familiarity with standard development tools such as git, and CI/CD pipelines
• Optimize and deploy ML models
• 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

• A minimum of 3+ years of industry experience working on real-world robot perception systems
• Masters' or PhD's degree in Robotics, Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, or Computer Engineering
• Object Detection/Segmentation/Tracking in Lidar, Vision, or LiDAR-Camera sensor fusion
• Solid experience on applying Machine Learning or Deep Learning Technologies to LiDAR or Sensor Fusion
• Strong experiences on large-scale data driving and data analysis system to understand LiDAR, Vision, Sensor Fusion system
• Strong programming skills in C/C++ and experience with software development in a Linux environment
• Familiarity with standard development tools such as git, and CI/CD pipelines
• Experiences on fast ML development cycle
• Experiences on ML model optimization and deployment
• 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

• Health benefits including vision and dental
• Unlimited paid vacation days and generous holidays
• Paid parental leave
• Meaningful stock options
• Daily catered lunches and snacks
• Flexible schedule around core business hours
• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans
• Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available
• Rich retirement benefits, including an immediately vested employer safe harbor match
• Generous paid parental leave with immediate eligibility as well as a phased return to work
• Flexible vacation policy in addition to 15 paid company holidays
• Competitive salary and equity program as well as a bonus program
• Employee Work Perk Stipends for hybrid and remote employees
• Total Wellness Program providing numerous resources for overall wellbeing