Senior Machine Learning Engineer, Perception – Autonomous Driving

Posted 1 day ago

This is a fully remote position, open to applicants in California, +4 more states.

πŸ“‹ Description

β€’ Create, train, and enhance machine learning models for LiDAR/camera perception and multi-sensor integration.

β€’ Design and manage ML workflows that encompass data pipelines, model training, performance metrics, continuous performance monitoring, and reporting.

β€’ Transform ML models and algorithms from evaluation and testing stages to deployment on the NVIDIA DRIVE AV platform.

β€’ Write highly efficient product code utilizing C++.

β€’ Stay updated on advancements in machine learning and integrate techniques to enhance platform performance.

β€’ Work collaboratively with LiDAR/camera teams, developers, engineers, and managers to provide dependable autonomous driving solutions.


⛳️ Requirements

β€’ MS or PhD in Computer Science, Engineering, or a related discipline, or equivalent professional experience.

β€’ Over 8 years of demonstrated industry experience in utilizing machine learning to solve practical challenges.

β€’ Proficient in C++ and Python programming and debugging, with a background in developing for large, intricate systems.

β€’ Extensive hands-on experience in applying machine learning to LiDAR/camera perception and multi-sensor fusion within the automotive or similar sectors.

β€’ Familiarity with deep learning frameworks like PyTorch or TensorFlow.

β€’ Solid grasp of the mathematical principles underlying machine learning.

β€’ Experience in establishing and maintaining training and essential metric workflows for extensive datasets.

β€’ Exceptional communication and analytical abilities.

β€’ A self-driven motivation to tackle challenging problems.

β€’ Knowledge of contemporary network architectures such as Transformers.

β€’ Experience in integrating ML features and models into a production autonomous vehicle stack or related robotics products.

β€’ Background in optimizing models for real-time inference on embedded or automotive systems, including the use of TensorRT.


🏝️ Benefits

β€’ Equity

β€’ Benefits

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