高级本地化工程师 - 自动驾驶车辆
Senior Localization Engineer - Autonomous Vehicles
智能机器由人工智能驱动，能够学习、推理并与人类互动，已不再是科幻小说。如今，一辆由人工智能驱动的自动驾驶汽车可以在夜晚穿越乡村道路并找到前进的路径。由人工智能驱动的机器人可以通过试错法学习运动技能。你是否认同我们，认为这确实是一个非凡的时代，人工智能时代已经到来？我们自豪地看到，NVIDIA 在这一发展中发挥着重要作用，我们的硬件和软件平台为全球合作伙伴构建了一个庞大的生态系统，他们正在交付各种产品。在自动驾驶汽车领域，NVIDIA 提供了 DRIVE AGX 硬件平台，该平台运行我们的 DRIVE 软件。
我们正在寻找一名高级定位工程师加入我们，负责自动驾驶车辆。一张随时可用的地图对可靠的自动驾驶至关重要。在这个职位中，你将帮助构建利用普遍导航地图以及我们众包地图的稳健解决方案，集成到我们的驾驶系统中。
你将负责的工作：
- 设计并构建符合 ASIL 安全要求的、稳健且精确的增强地图的自动驾驶解决方案。
- 对地图数据进行定位，为车辆周围环境提供最精确和丰富的模型，包括感知范围之外的区域。
- 确保我们的算法在大量真实和合成数据上表现良好，适用于多种环境和条件。
- 使用 C++ 编写安全、高效的实时代码，充分利用 CUDA 提供的 GPGPU 并行计算能力。
- 将所有软件产品化，以符合汽车质量和安全标准（MISRA、ISO26262）的方式部署到消费级汽车中。
我们需要看到的：
- 计算机科学、计算机工程或相关技术领域的博士学位，2年以上相关经验；硕士学位，4年以上相关经验；学士学位（或同等经验），6年以上相关经验。
- 在计算机视觉、三维几何、地图绘制、定位或相关技术方面有经验。
- 出色的沟通和团队合作能力，因为该项目需要跨团队协作以及紧密团队中的工作。
- 在现代 C++ 中具备严谨的软件工程能力。
- 具备线性代数和几何计算机视觉的扎实基础。
脱颖而出的方式：
- 在上述领域有丰富的行业经验。
- 有开发实时计算机视觉系统的经验。
- 有 CUDA 并行编程经验。
查看英文原文
Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. Do you agree with us that this truly is an extraordinary time and that the era of AI has begun? We are proud that NVIDIA is playing a meaningful role in this development, where our hardware and software platforms power a large eco-system of partners who are working to deliver products, all over the world. In the space of self-driving cars, NVIDIA provides the DRIVE AGX hardware platform which runs our DRIVE software.
We are looking for a Senior Localization Engineer for Autonomous Vehicles to join us. An always available map helps tremendously for reliable autonomous driving. In this role, you will help build robust solutions for using ubiquitous navigation maps as well as our crowd sourced maps in our driving stack.
What you'll be doing:
- Design and build robust and accurate solutions for map enhanced autonomous driving with ASIL safety requirements in mind.
- Localize to map data to provide the most precise and rich model of the environment around the car, including beyond the horizon of perception.
- Make sure our algorithms work well on large amounts of real and synthetic data, in a diverse range of environments and conditions.
- Write safe, highly efficient real-time code in C++, making use of algorithmic parallelism offered by GPGPU programming in CUDA.
- Productize all software for real-world deployment to consumer cars, following automotive quality and safety standards (MISRA, ISO26262).
What we need to see:
- PhD with 2+ years, MS with 4+ years, or BS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
- Experience in computer vision, 3D geometry, mapping, localization or related technologies.
- Outstanding communication and teamwork skills, as this project requires both cross-team collaboration and work in a tightly-knit team.
- Meticulous craftsmanship of software in modern C++.
- A solid foundation in linear algebra and geometric computer vision.
Ways to stand out from the crowd:
- Significant industry experience in above areas.
- Experience developing real-time Computer Vision systems.
- Experience with CUDA parallel programming
We believe that realizing self-driving cars will be a defining contribution of our generation (e.g. traffic accidents cause ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team! NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If you're creative and autonomous, we want to hear from you!
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 18, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Originally posted on Himalayas