May Mobility
Autonomous Driving
MachineLearningEngineerII-AutonomousDriving&InferenceRuntime
Neural analysis suggests this role is
optimal for Mid candidates.
“Machine Learning Engineer II - Autonomous Driving & Inference Runtime at May Mobility. Skills: Machine Learning, Inference Runtime, Autonomous Driving, Edge Computing. Deploy ML model architectures. Optimize ML model architectures”
Industry & Context.
Low travel (5-10%), Prolonged sitting, Prolonged standing, Prolonged computer use
What They're Looking For.
Must Have
Bachelor's or Master's degree, 2 years writing software, Proficiency in C/C++/CUDA/PyTorch, Experience in Linux environments, Familiarity with Perception concepts, Familiarity with Planning concepts
Nice to Have
Familiarity with NVIDIA compute architectures, Familiarity with common profiling tools, Understanding of Quantization techniques, Familiarity with NVIDIA DRIVEOS, Familiarity with scaling training throughput
What You'll Do.
Deploy ML model architectures
Optimize ML model architectures
Own model-compilation pipeline
Own deployment pipeline
Establish latency budgets
Defend latency budgets
Establish throughput budgets
Defend throughput budgets
Conduct regression tests
Conduct integrity tests
Full Job Description
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Job Summary May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles. We are seeking ML-Oriented Software Engineers with experience in robotics applications. As part of our Autonomous Driving ML team, you will use your knowledge of Software and Hardware concepts to deploy, optimize and scale State of the Art Machine Learning models for both Datacenter and Edge Vehicle devices. Essential Responsibilities 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
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