Senior Machine Learning Engineer – Automotive

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Model Development: Design, train, and optimize innovative machine learning models for LiDAR/camera perception (e.g., object detection/classification, semantic segmentation, tracking). • Develop and coordinate entire ML workflows, covering data pipelines, model training, model metrics, continuous performance instrumentation, and reporting. • Productization: Take ML models and algorithms from initial evaluation and experimentation all the way to product level on the NVIDIA DRIVE AV platform, developing highly efficient product code in C++. • Innovation: Keep track of the latest developments in machine learning, and incorporate techniques that improve platform performance. • Collaborate with LiDAR/camera teams, developers, engineers, and managers to turn complex ideas into reliable solutions for autonomous driving.

🎯 Requirements

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

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours