Senior Perception & Autonomy Architect

May Mobility, Inc.

United States

Remote

USD 235,000 - 275,000

Full time

2 days ago
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Benefits offered by this job

Healthcare
Retirement match
Parental leave
Flexible vacation

Job summary

May Mobility is building autonomous shuttle and mobility services nationwide. As Perception Lead you will direct how our vehicles perceive the world, focusing on scene detection, sensor robustness, and scalable architecture. You will mentor engineers and deliver production-grade perception capabilities.

You will work with a team of robotics experts to push the boundaries of real-world autonomous systems, ensuring safety and reliability across varied environments.

Qualifications

  • A minimum of 5+ years of industry experience on real-world robot systems maintaining high-quality industrial-grade code.
  • Master’s degree in Robotics, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation.
  • Demonstrated experience leading or making major architectural decisions for a perception, robotics, or autonomy software stack.
  • Strong programming skills in C/C++/Python; software development in Linux environments.
  • Strong experience in ML/DL development with PyTorch/TensorFlow.
  • Direct experience developing or fine-tuning large-scale multi-modal models for real-world perception applications.
  • Experience working on real-time areas: semantic scene understanding, detection, multi-target tracking, sensor fusion.
  • Extensive experience deploying ML/DL models in real-time systems with high accuracy and low latency.
  • Experience with all-weather perception, sensor degradation modeling, fault detection, graceful-degradation strategies for safety-critical systems.
  • Experience with scene classification, ODD monitoring, and runtime capability activation in autonomous systems.
  • Experience migrating large legacy perception systems to scalable frameworks.
  • Experience utilizing large-scale multi-modal models for edge-case detection and explainable AI.

Responsibilities

  • Own the technical direction of how our vehicles see and interpret the world.
  • Advance scene detection so the system recognizes context and engages the right behavior.
  • Hardening perception against sensor degradation and adverse weather for safe performance.
  • Drive architectural updates to evolve perception stack into scalable production-grade foundation.
  • Set the technical bar, mentor engineers, and deliver capabilities for real-world operation.

Skills

C/C++/Python
Linux
ML/DL development
PyTorch
TensorFlow
Real-time systems
Sensor fusion
Robotics perception
Open-vocabulary detection
Edge-case AI
Explainable AI
RL for ML

Education

Master’s degree in Robotics, Computer Science, or Computer Engineering

Tools

ROS
CUDA

Job description

May Mobility is building autonomous shuttle and mobility services nationwide. As Perception Lead you will direct how our vehicles perceive the world, focusing on scene detection, sensor robustness, and scalable architecture. You will mentor engineers and deliver production-grade perception capabilities.

You will work with a team of robotics experts to push the boundaries of real-world autonomous systems, ensuring safety and reliability across varied environments.

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