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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineers - **Company:** NVIDIA Ltd. - **Location:** United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Big Data, C++ (Programming Language), Data Files, Software Debugging, Hard Disk Drives, Python (Programming Language), Machine Learning, Network Architecture, Object Detection, Performance Tuning, Real-Time Operating Systems, Tensorflow, Sensor Fusion, AI Infrastructure, Scripting, Pytorch, Deep Learning, Information Technology, Data Management, Machine Learning Operations, TensorRT, Lidar, Data Pipelines - **Published:** July 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-machine-learning-engineer-ca--b5a7d830-e9eb-4dec-84ac-928c4c92fe8e ## About the Role Our team is building the machine learning backbone of the Perception component for NVIDIA DRIVE AV. We are seeking the best Machine Learning Engineers with a background in computer vision, LiDAR & camera perception, multi-sensor fusion and AI infrastructure who are passionate about solving the hardest problems for self-driving cars. Are you interested in inventing human-level AI for perception under real world conditions? If so, join us!, * 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 (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. Ways to Stand Out From the Crowd: * Multi-sensor fusion, LiDAR or Camera Perception Experience: Proven track record of developing and shipping deep learning models for LiDAR/Camera and Multi-Sensor Fusion in a production environment. * Advanced Model Knowledge: Familiarity with modern network architectures like Transformers and their application to visual recognition tasks. * AV Production Experience: A history of delivering ML features and models into a production autonomous vehicle stack or a related robotics product. * Performance Optimization: Experience with model optimization for real-time inference on embedded or automotive platforms (e.g., using TensorRT)., Algorithms, Analysis Skills, Artificial Intelligence (AI), Audiovisual, Automotive Automation, Automotive Industry, Autonomous Driving Systems, C++ Programming Language, Communication Skills, Computer Science, Computer Vision, Data Management, Data Modeling, Data Sets, Debugging Skills, Deep Learning, Funding, Hard Drives, Instrumentation, Knowledge Modeling, Light Detection and Ranging (LiDAR)\Laser Detection and Ranging (LADAR), Machine Learning, Mathematics, Metrics, Network Architecture/Engineering, Performance Analysis, Performance Management, Performance Metrics, Performance Tuning/Optimization, Problem Solving Skills, Production Systems, Python Programming/Scripting Language, Realtime Operating System, Robotics, Vehicle Driving ## Description * Model Development: Design, train, and optimize innovative machine learning models for LiDAR/camera perception and multi-sensor fusion (e.g., object detection/classification, image 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. ## Related Videos - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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