Senior Machine Learning Engineer

NVIDIA is a technology leader dedicated to pushing the boundaries of AI. Our GPUs power advanced Deep Learning algorithms, simulating human intelligence for applications in computers, robots, and self-driving vehicles. We are committed to fostering an inclusive work environment and are an equal opportunity employer, valuing diversity in our workforce.

Introduction

Our team at NVIDIA is developing the machine learning infrastructure for the Perception component of NVIDIA DRIVE AV. We are seeking passionate and skilled Senior Machine Learning Engineers who can tackle challenging problems in computer vision, LiDAR, and camera perception for self-driving cars. If you're eager to contribute to human-level AI for autonomous vehicles, join us.

Responsibilities

• Design, train, and optimize innovative machine learning models for LiDAR perception, including road element detection, semantic segmentation, and tracking.
• Develop and coordinate end-to-end ML workflows, encompassing data pipelines, model training, metrics, continuous performance instrumentation, and reporting.
• Drive the productization of ML models and algorithms from initial evaluation to deployment as part of the NVIDIA DRIVE AV platform, developing highly efficient product code in C++.
• Stay abreast of the latest machine learning advancements and integrate new techniques to enhance platform performance.
• Collaborate closely with LiDAR/camera teams, developers, engineers, and managers to transform complex ideas into robust solutions for autonomous driving.

Requirements

• BS or MS in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 6+ years of proven industry experience applying machine learning to real-world problems.
• Strong C++ and Python programming and debugging skills, with experience developing for large, complex systems.
• Deep practical experience applying machine learning to LiDAR/camera perception in automotive or related fields.
• Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow) and a strong understanding of ML's mathematical foundations.
• Experience building and maintaining training and essential metric workflows for large-scale datasets.
• Excellent communication and analytical skills, with a self-motivated drive to solve difficult problems.

Nice to Have

• Proven track record of developing and shipping deep learning models for LiDAR/Camera in a production environment.
• Familiarity with modern network architectures like Transformers and their application to visual recognition tasks.
• History of delivering ML features and models into a production autonomous vehicle stack or a related robotics product.
• Experience with model optimization for real-time inference on embedded or automotive platforms (e.g., using TensorRT).

Benefits

• Eligible for equity and comprehensive benefits (details available on NVIDIA's benefits page).

About Company

NVIDIA is a technology leader dedicated to pushing the boundaries of AI. Our GPUs power advanced Deep Learning algorithms, simulating human intelligence for applications in computers, robots, and self-driving vehicles. We are committed to fostering an inclusive work environment and are an equal opportunity employer, valuing diversity in our workforce.

How to Apply

Applications for this job will be accepted at least until July 9, 2026. Please apply via the provided application link.