Senior Perception Engineer – Obstacle Foundation Models, Autonomous Vehicles

🔥 18 hours ago

🏄 California, New York, +2 more states – Remote

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

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ 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

• Develop and improve the technical design, architecture, and roadmap for 3D obstacle perception supporting end-to-end autonomous driving • Design and implement advanced 3D perception models using multi-camera inputs and/or multi-sensor fusion for obstacle detection and tracking • Build efficient, production-grade deep learning models by defining objectives, selecting and prototyping architectures, running experiments, and applying training and evaluation best practices • Define and maintain KPI frameworks to quantify perception performance • Analyze large-scale real and synthetic datasets to identify failure modes and improve accuracy, robustness, and efficiency • Contribute to perception data strategy, including data and labeling requirements, collection and annotation priorities, and model-assisted workflows • Collaborate with data and ground-truth teams on active learning, auto-labeling, vision-language models, and model-in-the-loop tooling • Collaborate with safety, systems, and software teams to meet product requirements for safety, latency, resource usage, and software robustness • Prepare perception solutions for deployment at scale

🎯 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 • Hands-on experience developing deep learning–based perception or closely related systems for complex real-world problems • Strong proficiency in frameworks such as PyTorch • Track record of taking models from prototype to production • Experience in data-driven development, including collaboration with data, labeling, and ground-truth teams • Strong programming skills in Python and/or C++ • Experience building reliable, high-performance, production-quality software • Experience designing and deploying perception solutions for autonomous driving or robotics using camera-based deep learning at scale • Experience architecting and deploying DNN-based perception pipelines on embedded or real-time platforms • Experience optimizing for latency, memory, and compute constraints • Familiarity with CNNs, transformers, large-scale pretraining, parameter-efficient fine-tuning, LoRA, and vision-language models • Strong publication record or recognized contributions in deep learning, computer vision, or autonomous systems • Deep understanding of 3D computer vision fundamentals, camera modeling and calibration, multi-view geometry, and 3D representations • Experience with CUDA development and GPU-accelerated components • Excellent communication and collaboration skills

🏖️ Benefits

• Equity • Benefits