Senior Robotics Engineer - LIDAR/Radar

May Mobility is revolutionizing cities with autonomous technology, creating a safer, greener, and more accessible world. Based in Ann Arbor, Michigan, May designs and dispatches autonomous vehicles (AVs) propelled by our groundbreaking Multi-Policy Decision Making (MPDM) technology that completely rethinks the way AVs function. Our vehicles provide more than autonomous driving - they offer value to communities, fill public transit gaps, and transport people where they need to go safely, conveniently, and with more enjoyment. We're developing the world's best autonomy system to reenvision transit by reducing traffic, increasing access, and promoting improved land usage to cultivate greener, more vibrant and habitable areas. Since our foundation in 2017, we've provided over 300,000 autonomous-enabled rides to real people worldwide. And we're just getting started. We're hiring individuals who are as enthusiastic about building the future, today, solving real-world problems, and seeing the immediate impact of their work as we are. Join us. Job Summary As a Senior Robotics Engineer - LIDAR/Sensor Fusion, you will lead the resolution of challenging and intricate problems facing vehicle autonomy. You'll pioneer the design of future May autonomy systems and resolve the system’s most complex issues. Autonomy system engineers oversee the integrated operation of the autonomy system. Systems engineers engage with vision, LIDAR, RADAR, tracking, intent, decision-making, control, networking, health monitoring, computers, graphics cards, and power. System engineers advance architectural design and hardware/software design by collaborating with other engineering groups. You will be an authority on understanding how new features will integrate, potential system failures, optimizing the system for effectiveness or efficiency, and maintaining system functionality. Your Opportunity to Drive Success You will get a chance to independently influence our approach to solving the most fascinating problems facing AVs today, while in live operation. Responsibilities: - Collaborate with other machine learning and robotics engineers to design, develop, test, and deploy robust, generalizable perception solutions for autonomous vehicles. - Work individually with cross-functional teams to formulate software and system requirements. - Develop, test, and deploy software in C/C++/CUDA. - Lead team code quality activities including design and code reviews. - Monitor technical performance trends of the system in the field. - Offer technical guidance to the Technical Support Team on diagnosing and resolving issues. Required Qualifications - Minimum 3+ years of market experience on real-world robot perception systems (should have implemented at least two commercial projects working on a systems level, developing perception software as part of a larger robotics system). - Masters' or PhD'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 background (e.g. physics, aerospace engineering). - Object Detection/Segmentation/Tracking in Lidar, Vision, or LiDAR-Camera sensor fusion. - Considerable experience in 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. Desired Qualifications - Strong background in one of the robot perception areas as exhibited by creating and delivering to fielded robots multiple capabilities that resolve vital problems in perception. - Demonstrated ability to mentor and aide 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 high-level languages. Benefits and Perks - 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. Additional Benefits and Perks - Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been living together for at least one year can also participate! - 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 and 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. - Daily catered lunches and snacks for onsite employees. - Employee Work Perk Stipends for hybrid and remote employees. - Total Wellness Program offering numerous resources for overall wellbeing. The projected base salary range for this full-time position is $152,000 - $209,000 per year. May’s pay ranges are determined by the role, level, and location. Successful candidate’s starting base pay will be decided based on factors including but not exclusive to: job-related skills, experience, qualifications, relevant education or training, and market conditions. A successful candidate will also be eligible for an annual discretionary bonus, equity compensation, and generous company benefits. These ranges may change.