Senior Machine Learning Engineer, Perception – Autonomous Driving

🕒 September 21

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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NVIDIA

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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 end2end solutions for Perception and AV stack to enable traffic signal detections across various driving environments from complex intersections to rural roads to highways • Conduct applied research and development of innovative deep learning models for traffic light detection, traffic sign recognition, road marking detection, construction object detection, text recognition, and other traffic signal tasks • Develop generalizable approaches to support diverse ODDs and country/region expansion • Drive and prioritize data-driven development with large data collection and labeling teams • Prioritize data collection and labeling, optimize labeling efficiency, and maximize the value of data • Leverage data simulation and augmentation for solving extreme scenarios • Productize perception solutions by meeting product requirements for safety, latency, and software robustness • Help define the future of reliable, data-driven autonomous driving

🎯 Requirements

• Minimum Requirement: PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field • 2+ years of technical leadership demonstrating high technical and organizational complexity is a big plus • Hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems • Proficiency in using deep learning frameworks (e.g., PyTorch) • Experience in data-driven development and collaboration with data and ground truth teams • Strong programming skills in python and/or C++ • Proven expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras • Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications • Proven expertise in deep learning backed up by technical publications in leading conferences/journals • Expertise with Visual Language Models, Transformers, BEV architectures, and modern traffic signal perception techniques • Experience in working on complex object detection and recognition problems is a big plus

🏖️ Benefits

• Equity • Benefits

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