
51 - 200 employees
Founded 2017
🚗 Transport
🤖 Artificial Intelligence
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.
🔥 1 minute ago
🇺🇸 United States – Remote
💵 $180k - $210k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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51 - 200 employees
Founded 2017
🚗 Transport
🤖 Artificial Intelligence
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.
• Deploy and Optimize Machine Learning model architectures across May’s Autonomous Driving training and inference stacks. • Own the model-compilation and deployment pipeline end-to-end. • Establish and defend latency/throughput budgets across the AV stack, including profiling, regression and integrity tests.
• Bachelor’s or Master’s degree in Robotics, Computer Science, Computer Engineering, or a related field with strong mathematical and engineering foundations. • A minimum of 2 years writing software to interface with GPU and ML systems. • Proficiency in C/C++/CUDA/PyTorch and experience in Linux environments. • Familiarity with basic Perception and Planning concepts in Autonomous Driving. • Familiarity with NVIDIA compute architectures (Ada, Hopper, Blackwell, etc). • Familiarity with common profiling tools such as Nsight, Pytorch Profiler, flamegraph. • Understanding of Quantization (INT8/FP8/FP16) and other compression techniques. • Familiarity with NVIDIA DRIVEOS architecture and SoCs (Orin/Thor). • Familiarity with techniques for scaling training throughput (batching, FSDP, streaming dataloaders).
• 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
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