Autonomy Engineer – Perception Optimization

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October 7

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May Mobility

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Transport • Artificial Intelligence

May Mobility is a pioneer in developing autonomous vehicle technology and transportation solutions. They focus on creating safe, reliable, and accessible public transit options by deploying driverless shuttles in urban settings. Their solutions aim to improve urban mobility, reduce traffic congestion, and provide eco-friendly transportation alternatives. With a strong emphasis on pedestrian and passenger safety, May Mobility's technology integrates seamlessly with existing city infrastructure to offer a new vision of public transportation.

51 - 200 employees

Founded 2017

🚗 Transport

🤖 Artificial Intelligence

📋 Description

• Work closely with across functional teams to co-define software and system requirements, analyze trade-offs, and shape the future generation of compute platforms. • Collaboratively integrate perception algorithms and machine learning models with vehicle hardware and software, ensuring seamless operation within autonomous driving systems. • Collaborate with ML infrastructure teams to develop and optimize distributed training infrastructure, automate deployment pipelines, and enhance system reliability and performance. • Conduct rigorous testing and validation of perception algorithms in both simulated and real-world environments to ensure robustness, reliability, and safety. • Develop and optimize perception stack software using CUDA and GPU programming to accelerate computationally intensive tasks and maximize efficiency. • Lead the efforts of optimizing machine learning models for runtime efficiency, scalability, and performance across GPU, TPU, and CPU architectures, ensuring adaptability to various vehicle platforms. • Stay at the forefront of machine learning, GPU programming, and autonomous driving technologies, integrating the latest advancements into the development process. • Actively participate in feature design, code reviews, debugging, and issue resolution, driving improvements in perception software performance.

🎯 Requirements

• Master’s or PhD degree in Robotics, Computer Science, Computer Engineering, or a related field with strong mathematical and engineering foundations. • A minimum of 3+ years in Senior engineer roles of GPU programming/optimization using CUDA or similar techniques for perception algorithms and models • Proficiency in C/C++/Python and experience in software development in Linux environments. • Strong experience with GPU programming, CUDA, and real-time data processing. • Experience optimizing ML models for runtime efficiency. • Experience with 3D computer vision and point cloud processing.

🏖️ Benefits

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to 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 as well as a phased return to work. • Flexible vacation policy in addition to paid company holidays. • Total Wellness Program providing numerous resources for overall wellbeing