Senior Machine Learning Engineer, Prediction - Autonomous Driving
智能机器由人工智能计算机驱动，能够学习，推理和与人们互动不再是科幻小说.GPU 深度学习为机器学习，感知，推理并解决问题提供了基础。现在，NVIDIA 的 GPU 运行深度学习算法，模拟人类智慧，并作为可以感知和理解世界的电脑，机器人和自动驾驶汽车的大脑。我们现在正在寻找一个非凡的高级工程师来开发和生产 NVIDIA's 自主驾驶解决方案。作为我们预测团队的成员，你将为制造多模式场景一致预测的预测模块提供解决方案。你将面临挑战：提高解决方案的强度和精确性以及效率，以完全实现随时随地自动驾驶。你将做什么？·使用先进的 ML 技术设计预测和 AV 堆的端到端解决方案，使代理在各种驾驶环境中进行预测，从复杂交叉点到农村曲线道路到多层级高速公路。·应用研究和开发创新深度学习模型，包括端到端模型 · 发展可通用方法来支持各种 ODD 和国家/地区扩张 · 与大型数据收集和标签团队合作推动和优先考虑基于数据的开发，以提高预测系统准确性。努力将包括数据收集的优先考虑和规划，标记优先考虑，标签效率优化，以便最大限度地实现数据价值 · 对解决极端场景进行利用数据模拟和增强 ·通过满足安全性，延迟和 SW 稳定性的产品要求生产开发的解决方案。我们需要看到的：· 最低要求：博士学位6年以上，MS10年以上或 BS （或同等经验）12年以上计算机科学，计算机工程或相关技术领域有意义丰富的经验。·开发深度学习和解决复杂现实问题的算法方面的实践工作经验以及使用深度学习框架的能力 （例如 PyTorch）. ·与数据和基础真相团队合作的经验；· 强大的编程技能在 python 和/或 C++中。·作为一个紧密的沟通和团队协作能力。
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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 Engineer to develop and productize NVIDIA’s autonomous driving solutions. As a member of our prediction team, you will be driving solutions for prediction modules that are responsible for producing multi-modal scene consistent prediction for other road participants. 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:
- Designing end-to-end solutions for Prediction and AV stack using state of the art ML techniques to enable agents prediction across various driving environments from complex intersections to rural curvy roads to multi-level highways.
- Applied research and development of innovative deep learning models, including end-to-end models
- Develop generalizable approaches to support diverse ODDs and Country/region expansion
- Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve prediction system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, labeling efficiency optimization, so that value of data is maximized
- Leverage data simulation and augmentation for solving extreme scenarios
- Productize the developed solutions by meeting product requirements for safety, latency, and SW robustness.
What We Need to See:
- Minimum Requirement: PhD with 6+ years, MS with 10+ years, or BS (or equivalent experience) with 12+ years of meaningful experience in Computer Science, Computer Engineering, or a related technical field.
- Hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch).
- Experience in data-driven development and collaboration with data and ground truth teams.
- Strong programming skills in python and/or C++.
- Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other.
Ways to Stand Out from the Crowd:
- Proven expertise in developing generalizable ML solutions for autonomous driving or robotics.
- Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications.
- Proven expertise in deep learning backed up by technical publications in leading conferences/journals.
- Expertise with Transformers, BEV architectures, E2E ML systems.
- Having over 2 years of experience in technical leadership involving significant technical and organizational challenges is highly advantageous.
Join us and help define the future of reliable, data-driven autonomous driving.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 20, 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