Deep Learning Engineer, End-to-end - Autonomous Driving
Description For Deep Learning Engineer, End-to-end - Autonomous Driving
NVIDIA, the pioneer in accelerated computing and GPU technology, is seeking exceptional Deep Learning Engineers for their autonomous driving initiative. This role combines cutting-edge AI technology with autonomous vehicle development, offering an opportunity to shape the future of transportation. The position focuses on developing end-to-end solutions for autonomous vehicle systems, including perception, planning, and navigation in complex environments.
The ideal candidate will work at the intersection of deep learning, computer vision, and autonomous systems, developing and implementing state-of-the-art algorithms that power self-driving vehicles. You'll be part of a team that's pushing the boundaries of what's possible in autonomous driving, working with large-scale models and implementing innovative solutions for real-world applications.
Key aspects of the role include designing and training advanced AI models, implementing novel data generation strategies, and ensuring deployed systems meet rigorous safety and performance standards. You'll collaborate with cross-functional teams, working on everything from model development to production deployment.
NVIDIA offers the chance to work with industry-leading technology and experts in the field. The company's commitment to innovation in AI and autonomous vehicles makes this an exciting opportunity for those passionate about creating transformative technology. Join NVIDIA to be at the forefront of the autonomous driving revolution, working on challenges that will define the future of transportation.
Responsibilities For Deep Learning Engineer, End-to-end - Autonomous Driving
- Design and train innovative large-scale models, including generative, imitation and reinforcement learning approaches
- Explore and implement novel data generation and data collection strategies
- Collaborate with cross-functional teams to deploy AI models in production environments
- Integrate machine learning models with vehicle firmware and deliver production-quality software
Requirements For Deep Learning Engineer, End-to-end - Autonomous Driving
- BS/MS or higher in computer engineering, computer science or related engineering fields
- 3+ years of relevant industry experience
- Deep understanding of modern deep learning architectures and optimization techniques
- Proven track record of deploying production-grade ML models
- Strong programming skills in Python and proficiency with major deep learning frameworks
- Familiarity with C++ for model deployment
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