Principal Perception Engineer – Obstacle Foundation Models, Autonomous Vehicles

🔥 17 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $272k - $431.3k / year

⏰ Full Time

🔴 Lead

👷🏻‍♀️ 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

• Own the technical vision, architecture, and roadmap for 3D obstacle perception supporting end-to-end autonomous driving • Design and develop 3D perception models using multi-camera inputs and/or camera, radar, and lidar sensor fusion • Lead development of efficient, production-grade deep learning models • Define objectives, select architectures, guide experimentation, and establish training and evaluation best practices • Define and drive KPI frameworks for perception performance • Analyze large-scale real and synthetic datasets to identify failure modes and improve accuracy, robustness, and efficiency • Lead perception data strategy, including data and labeling requirements, collection, annotation, active learning, auto-labeling, VLMs, and model-in-the-loop tooling • Partner with safety, systems, and software teams to meet product requirements for safety, latency, resource usage, and software robustness • Drive deployment readiness at scale • Provide technical leadership and mentorship across perception and autonomy teams

🎯 Requirements

• 15+ years of 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 • Demonstrated technical leadership as a senior or principal-level individual contributor • Experience owning features or subsystems end-to-end, setting technical direction, making architectural decisions, and coordinating across teams • Proven experience in data-driven development, including collaboration with data, labeling, and ground-truth teams • Strong programming skills in Python and/or C++ • History of building reliable, high-performance, production-quality software • Excellent communication and collaboration skills • BS/MS/PhD in Computer Science, Electrical Engineering, or related fields, or equivalent experience • Experience leading 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 latency, memory, and compute constraints • Familiarity with CNNs, transformers, large-scale pretraining, parameter-efficient fine-tuning such as 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, camera modeling and calibration, multi-view geometry, and 3D representations • Experience with CUDA development and GPU-accelerated components

🏖️ Benefits

• Equity • Benefits