英伟达Senior Perception Fusion and Deep Learning Engineer - Autonomous Vehicles
任职要求
• MS or PhD (or equivalent industry experience) in Computer Science, Computer Engineering, Mathematics, Physics, or a related field, with 3+ years of industry experience in perception, computer vision, or multimodal sensor fusion for autonomous driving or robotics.
• Experience with advanced perception‑fusion components such as multi‑object tracking, data association, sensor modeling and calibration, or BEV / transformer‑based fusion architectures.
• Strong algorithmic fundamentals in digital image processing, multi‑view 3D geometry, nonlinear optimization, and classical fusion frameworks (KF/EKF), supported by a solid foundation in linear algebra and uncertainty modeling.
• Hands‑on experience with deep learning, including developing, training, and dep…工作职责
• Evaluate perception‑fusion algorithms and KPIs across multiple OEM carlines for both driving and parking functions, including near‑field scene understanding for parking and full‑field scene understanding for active safety and driving. • Triage and diagnose perception‑fusion issues, identifying root causes behind KPI variations across carlines, regions, ODDs, and operating conditions. • Propose and prototype innovative perception‑fusion solutions to meet new sensor configurations and platform requirements. • Collaborate cross‑functionally with perception, planning, controls, systems, and platform teams to drive the development, optimization, and evolution of perception‑fusion algorithms.
Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA’s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA’s autonomous driving solutions. As a member of our perception team, you will work on building world-class 3D obstacle perception solutions based on multi-sensor fusion, including cameras, ultrasonic sensors, and radar, to estimate high-resolution reconstruction of the world, such as occupancy networks. The primary approach will be deep learning. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime. What you’ll be doing: • Perception experts with application focus will be on multi-sensor fusion based deep learning model development for obstacle perception/fusion in complex driving environments. • Applied research and development of innovative deep learning and multi-sensor fusion algorithms to improve output accuracy of 3D obstacle perception solutions under challenging and diverse scenarios, with a focus on high-resolution world reconstruction (e.g., occupancy networks). • Identify and analyze the strength and weakness of the developed 3D obstacle perception solutions using large scale benchmark data (both real and synthetic) and improve them iteratively through KPI building and optimization. This includes careful data verification, model architecture design, understanding details of loss function engineering, and being capable of finding detailed ML bugs and iterating toward perfection. • Productize the developed 3D obstacle perception solutions by meeting product requirements for safety, latency, and SW robustness, with a strong emphasis on production deep learning model development. • Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, so that value of data is maximized.
• Implement AI/ML models for target detection, collision avoidance and automation control • Control robotics systems with computer vision, 3d camera, machine learning, etc • Develop automation software systems with smart, scalable, and testable code • Collaborate with senior engineers and cross-functional partners to understand requirements and translate them into concrete technical tasks • Work with various sensor modalities (LiDAR, cameras, IMUs, etc.) • Stay up to date with the evolving AI/ML landscape and help improve our tools, infrastructure, and practices based on new developments • Utilize CAD software (SolidWorks, Fusion 360, or equivalent) for mechanical modeling and fabrication (3D printing, CNC machining, etc.)
Why join us: Anker Innovations is a global leader in smart charging technologies and a developer of consumer products for the home, car, and mobile life Founded in 2011. We are committed to shaping the consumer electronics brand in the global marketplace, bringing innovative, technologically savvy leading products to consumers around the world. We've brought our products to 100+ countries and regions with more than 140 million users and a revenue of 2000+ million USD in 2022. Anker Innovations has successfully built Anker, a world-renowned high-end innovative charging brand, and launched intelligent hardware brands such as Eufy, Nebula, and Soundcore to further explore smart charging, smart voice, smart home and other fields, bringing leading products with technological charm and 1400+ intellectual property rights to the market, to ensure that our products continue to be popular. Today, we have a total of 4000+ employees in 15 offices across North America, Europe, Australia, Asia, LATAM and the Middle East and the proportion of R&D personnel up to 50%. We are always looking for top talents like you to join us! For more information, please visit: https://us.anker.com/ Location: Seattle, WA About the Role: We're seeking a Senior Product Manager to lead the planning, development, and commercialization of next-generation embodied intelligent robotics. In this role, you'll bridge cutting-edge AI capabilities with robust hardware design, driving products from concept through mass production. You'll work closely with cross-functional teams (mechanical, hardware, software, and AI) to define the product vision, ensure technical feasibility, and deliver market-ready solutions. Key Responsibilities： 1. Product Strategy & Definition - Lead end-to-end product planning for full-system robotics solutions. - Conduct market research and user needs analysis to define technical specifications, commercialization strategies, and core performance metrics (e.g., motion control precision, multimodal interaction speed). - Own the PRD and establish clear product goals aligned with business objectives. 2. Technology Integration - Translate AI capabilities (motion control, environmental perception, decision-making) into hardware-ready solutions. - Coordinate structural, hardware, and software teams to integrate systems such as sensor fusion, joint actuation, and embedded controls. 3. Lifecycle Ownership - Manage the product journey from concept and design to mass production and delivery. - Define product roadmaps, set and track milestones (TR reviews / DCP decisions), and resolve technical or resource bottlenecks across departments. 4. System Validation & Compliance - Develop and oversee system-level testing, including functional, extreme load, and EMC tests. - Lead performance bottleneck analysis, optimize reliability, and drive CE/FCC certification. 5. Ecosystem & Technology Foresight - Research emerging technologies such as heterogeneous computing platforms and advanced sensors. - Foster a robotics developer ecosystem and transition pre-research innovations into marketable products.