Senior Machine Learning Engineer

Details

NVIDIA's team is building the machine learning backbone for the perception component of NVIDIA DRIVE AV. The role focuses on solving challenging machine learning problems for self-driving cars under real-world conditions, including computer vision, LiDAR and camera perception, multi-sensor fusion, and AI infrastructure.

Responsibilities

• Design, train, and optimize machine learning models for LiDAR and camera perception and multi-sensor fusion, including object detection and classification, image classification, semantic segmentation, and tracking.
• Develop and coordinate complete machine learning workflows, including data pipelines, model training, model metrics, continuous performance instrumentation, and reporting.
• Take machine learning models and algorithms from evaluation and experimentation through productization on the NVIDIA DRIVE AV platform.
• Develop highly efficient product code in C++.
• Track the latest developments in machine learning and incorporate techniques that improve platform performance.
• Collaborate with LiDAR and camera teams, developers, engineers, and managers to turn complex ideas into reliable autonomous-driving solutions.

Requirements

• MS or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
• 8+ years of relevant industry experience applying machine learning to real-world problems.
• Strong C++ and Python programming and debugging skills, including experience developing for large, complex systems.
• Deep practical experience applying machine learning to LiDAR and camera perception and multi-sensor fusion in automotive or related fields.
• Experience with deep learning frameworks such as PyTorch and TensorFlow.
• Strong understanding of the mathematical foundations of machine learning.
• Experience building and sustaining training and metric workflows for large-scale datasets.
• Excellent communication and analytical skills, with a self-motivated drive to solve challenging problems.

Preferred Qualifications

• A proven record of developing and shipping deep learning models for LiDAR, camera perception, or multi-sensor fusion in production environments.
• Familiarity with modern network architectures such as Transformers and their application to visual recognition tasks.
• Experience delivering machine learning features and models into a production autonomous-vehicle stack or related robotics product.
• Experience optimizing models for real-time inference on embedded or automotive platforms, including the use of TensorRT.

Benefits

• Equity and employee benefits.
• NVIDIA is committed to an inclusive work environment and is an equal opportunity employer.
• Applications will be accepted at least until July 14, 2026.
• This posting is for an existing vacancy. NVIDIA may use AI tools in its recruiting processes.