Senior Machine Learning Engineer, Perception – Autonomous Driving

🔥 0 minutes ago

🏄 California, New York, +3 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

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

• Design, train, and optimize machine learning models for LiDAR/camera perception and multi-sensor fusion • Develop and coordinate ML workflows covering data pipelines, model training, model metrics, continuous performance instrumentation, and reporting • Productize ML models and algorithms from evaluation and experimentation through deployment on the NVIDIA DRIVE AV platform • Develop highly efficient product code in C++ • Track developments in machine learning and incorporate techniques that improve platform performance • Collaborate with LiDAR/camera teams, developers, engineers, and managers to deliver reliable autonomous-driving solutions

🎯 Requirements

• MS or PhD in Computer Science, Engineering, or a related field, or equivalent experience • 8+ 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 and multi-sensor fusion in automotive or related fields • Experience with deep learning frameworks such as PyTorch or TensorFlow • Strong understanding of the mathematical foundations of machine learning • Experience building and sustaining training and essential metric workflows for large-scale datasets • Excellent communication and analytical skills • Self-motivated drive to solve hard problems • Familiarity with modern network architectures like Transformers • Experience delivering ML 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, such as using TensorRT

🏖️ Benefits

• Equity • Benefits