Senior Autonomy Engineer II - Controls

As a Senior Autonomy Engineer II - Controls at May Mobility, your primary responsibilities include designing, implementing, and testing advanced robotics software in C/C++ to ensure the safe and comfortable operation of our autonomous vehicles. You'll lead code quality activities, provide technical guidance, and collaborate with various teams to meet software and system requirements. Additionally, you'll analyze vehicle performance through real-world tests and develop tools to assist support engineers.

Candidates applying for the Senior Autonomy Engineer II - Controls position at May Mobility should hold a Bachelor’s degree in Robotics, Computer Science, or a related field, along with over seven years of industry experience working with real-world robotic systems. Proficiency in C/C++ programming, experience in behavior planning, decision-making, and machine learning are also essential for this role.

A strong foundation in programming, specifically in C/C++, is crucial for a Senior Autonomy Engineer II - Controls at May Mobility. Additionally, familiarity with software development processes in a Linux environment and standard development tools like git, valgrind, and gdb will greatly assist you in performing your duties effectively.

At May Mobility, professional growth is encouraged, particularly for Senior Autonomy Engineers II - Controls. You'll have opportunities to mentor junior engineers, collaborate with cross-functional teams, and engage in continuous learning through project involvement. The company also fosters innovation, enabling you to explore new ideas and solutions that contribute to the field of autonomy.

As a Senior Autonomy Engineer II - Controls at May Mobility, you can make a significant impact by contributing to the development of world-class autonomous vehicles that provide safe, efficient, and enjoyable transportation experiences. Your work will help bridge public transit gaps and enhance community connectivity, making cities safer and more accessible while minimizing congestion.

Discuss your background in developing robotics software, focusing on specific projects where you utilized C/C++. Highlight your role in software design, development, and testing, particularly if you worked on real-world robotic systems that underwent field trials.

Describe a specific challenge and the steps you took to address it. Emphasize your problem-solving skills, any teamwork involved, and the outcome of your solutions. This shows your ability to navigate complex issues in autonomy-related projects.

Illustrate your project management skills by detailing the methods you use to prioritize tasks. Discuss how you assess deadlines, project impacts, and collaboration needs to effectively manage your time and resources.

Talk about your expertise in behavior planning and decision-making, including any specific algorithms you have implemented. Provide examples of how you utilized these algorithms in real applications for autonomous vehicles.

Share the resources you use, like research papers, industry conferences, or professional networks that help you keep up with advancements in autonomous technology. Showing your commitment to continuous learning is crucial in the rapidly evolving field.

Provide examples of how you've successfully collaborated with teams from different disciplines, such as perception or software engineering. Highlight your communication skills and how they contributed to project success.

Explain your approach to testing robotic systems, including the types of tests you've designed (unit tests, simulation tests, field tests) and how you ensure that your measures lead to robust and reliable performances.

List programming tools and environments you frequently use, particularly those relevant to C/C++ development. Mention any relevant experience you have with Linux-based systems and development tools like git or gdb.

Outline your approach to mentorship, emphasizing effective communication, sharing resources, and fostering a collaborative learning environment. Mention any previous mentoring experiences you've had and their outcomes.

Discuss key performance indicators you'll use to evaluate autonomous vehicle subsystems, such as safety, efficiency, and user experience measures. Explain how data informs decision-making in your work.