Senior Machine Learning Engineer, Perception – Autonomous Driving

🕒 June 4

🏄 California, Washington – Remote

🏄 California – Remote ☕ Washington – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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👻 Ghost score 56%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 161 days.
• Jobs at this company usually fill in 36 days.
• Reposted 2 times.

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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 Perception and AV stack solutions for road network detection across diverse driving environments • Research and develop deep learning models for lane graph construction, road boundary detection, traffic element recognition, and other static-world tasks • Develop generalizable approaches supporting diverse ODDs and country/region expansion • Drive 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 perception solutions to meet safety, latency, and software robustness requirements

🎯 Requirements

• 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 experience developing deep learning and algorithms for sophisticated real-world problems • Proficiency with deep learning frameworks such as PyTorch • Experience in data-driven development and collaboration with data and ground truth teams • Strong programming skills in Python and/or C++ • Expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras • Experience developing and deploying DNN-based solutions to embedded platforms for real-time applications • Technical publications in leading conferences/journals • Expertise with Transformers, BEV architectures, and modern static-world perception techniques • Experience with online mapping and complex road detection problems is a plus

🏖️ Benefits

• Equity • Benefits

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