Senior Machine Learning Engineer, Sensor Validation
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The role
You will develop and implement state-of-the-art sensor validation algorithms to analyze the health of sensor suites.
You will create onboard fault detection, isolation, and recovery solutions using advanced ML approaches.
You will work on sensor fusion algorithms that scale across heterogeneous sensors and multi-platform systems.
You will design a data flywheel approach to automatically scale sensor validation efforts.
You will collaborate with in-house hardware and perception teams on novel sensing modalities and next-generation perception pipelines.
Qualifications include a strong ML background (5+ years), deep learning for perception, C++ production-level coding, Python, and experience with PyTorch or JAX; preferred PhD and experience with large-scale data analysis and AV/robotics real-time perception.
You will create onboard fault detection, isolation, and recovery solutions using advanced ML approaches.
You will work on sensor fusion algorithms that scale across heterogeneous sensors and multi-platform systems.
You will design a data flywheel approach to automatically scale sensor validation efforts.
You will collaborate with in-house hardware and perception teams on novel sensing modalities and next-generation perception pipelines.
Qualifications include a strong ML background (5+ years), deep learning for perception, C++ production-level coding, Python, and experience with PyTorch or JAX; preferred PhD and experience with large-scale data analysis and AV/robotics real-time perception.
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