Senior Robotics Engineer - LIDAR/Sensor Fusion

Key Skills

AI Robotic systems, Autonomous vehicles, C Programming, C++, Computer Vision (CV), Continuous Integration & Continuous Delivery - CI/CD, Deep Learning, Git, LiDAR, Linux Operating system, Localization, Machine learning techniques, Sensor fusion Algorithms

Job Description

As a Senior Robotics Engineer - LIDAR/Sensor Fusion, you will lead the solution of challenging and complex problems facing vehicle autonomy. You will lead the design of future May autonomy systems and track down and solve the system’s most difficult issues. 

Autonomy system engineers are responsible for the integrated functioning of the autonomy system. Systems engineers interact with vision, LIDAR, RADAR, tracking, intent, decision-making, control, networking, health monitoring, computers, graphics cards, and power. System engineers drive forward architectural design and hardware/software design through collaboration across other engineering groups. You will be a go-to person for understanding how new features will fit in, how the system might fail, how to best evolve the system to be more effective or efficient, and how to keep the system working.

Your Opportunity to Drive Success 

You will have an opportunity to independently impact our approach to solving the most interesting problems facing AV’s today, while operating live in the wild.

• 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

Required Qualifications

• 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)
• 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 foundation (e.g. physics, aerospace 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

Desired Qualifications

• 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

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

Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.