Senior Machine Learning Engineer, Prediction – Autonomous Driving

🔥 54 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $224k - $356.5k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 end-to-end solutions for Prediction and AV stack using state of the art ML techniques across diverse driving environments • Conduct applied research and development of innovative deep learning models, including end-to-end models • Develop generalizable approaches to support diverse ODDs and country/region expansion • Drive and prioritize data-driven development with data collection and labeling teams • Prioritize data collection and labeling, and optimize labeling efficiency • Leverage data simulation and augmentation for extreme scenarios • Productize solutions to meet safety, latency, and software robustness requirements

🎯 Requirements

• PhD with 6+ years, MS with 10+ years, or BS (or equivalent experience) with 12+ years of meaningful experience in Computer Science, Computer Engineering, or a related technical field • 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 ML solutions for autonomous driving or robotics • 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 Transformers, BEV architectures, E2E ML systems

🏖️ Benefits

• Equity • Benefits