Senior Autonomy Engineer - ML/Perception

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Overview of May Mobility

May Mobility is a pioneering company based in Ann Arbor, Michigan, that is transforming cities through the use of autonomous technology. Their mission is to create a safer, greener, and more accessible world by developing and deploying autonomous vehicles (AVs). The company employs cutting-edge Multi-Policy Decision Making (MPDM) technology to fundamentally change how AVs operate. Since its founding in 2017, May Mobility has provided over 300,000 autonomy-enabled rides to passengers globally, and the company is eager to continue expanding its impact.

Position Summary

The position of Senior Autonomy Engineer - ML/Perception represents an exciting opportunity for candidates looking to contribute to the growth of autonomous shuttle services across the nation. As the company progresses in enhancing its AVs, May Mobility seeks professionals who can design, implement, test, and deploy robust perception systems particularly aimed at optimizing the functionality of autonomous vehicles.

Essential Responsibilities

The successful applicant will hold several key responsibilities, including:

• Collaborating with other perception and robotics engineers to innovate perception solutions.
• Developing, testing, and deploying software primarily using C/C++/CUDA programming languages.
• Participating in team activities focused on code quality through rigorous design and code reviews.
• Conducting extensive testing to validate new features and maintain the release schedule.
• Supporting the development of various data and machine learning (ML) pipelines.

Required Skills and Experience

The ideal candidate for this role should bring a robust set of skills and experiences, including:

• A Bachelor's degree in Robotics, Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, or a closely related field that has a strong mathematical and engineering foundation.
• A minimum of 3+ years of industry experience working on practical robotics perception systems, having successfully implemented at least two commercial projects.
• Proficiency in programming languages such as C/C++/Python, along with experience in a Linux development environment.
• A solid background in machine learning (ML) and deep learning (DL) frameworks such as PyTorch and TensorFlow.
• Experience or knowledge in various domains such as object detection, semantic segmentation, computer vision, sensor fusion, and localization.

In addition to these required qualifications, the company also prefers candidates who:

• Hold an advanced degree (Master's or PhD) in relevant fields.
• Have demonstrated the ability to mentor junior engineers in robotics development and testing.
• Are familiar with tools such as git, valgrind, and gdb.

Salary and Benefits

The salary range for the Senior Autonomy Engineer position is between $160,000 and $200,000 USD. May Mobility offers a comprehensive benefits package that includes:

• Medical, dental, vision, life, and disability coverage.
• Health savings accounts and flexible spending accounts for healthcare and dependent care.
• Retirement benefits, including a safe harbor match which is immediately vested.
• Generous paid parental leave along with flexible vacation policies and 18 paid company holidays.
• Access to a Total Wellness Program aimed at promoting overall wellbeing in the workplace.

Inclusivity and Diversity Commitment

May Mobility is dedicated to creating an inclusive workplace and encourages diverse candidates to apply. The company explicitly states that applicants are encouraged to apply even if they do not meet every requirement, as they may still possess the ideal skills for the position. The company emphasizes its commitment to equality and does not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics, or any other protected attribute.

Conclusion

The role of Senior Autonomy Engineer at May Mobility is crucial in aiding the company to further its vision of transforming urban mobility through autonomous technology. Candidates who possess a blend of the required skills and qualifications, alongside a passion for innovative mobility solutions, would find this position a fulfilling opportunity to contribute to projects that shape the future of transportation.

This job offer was originally published on himalayas.app