8 days ago
Base Salary
$184k - $276k/yr
Responsibilities
- Develop machine learning techniques for autonomous driving perception problems such as detection, sensor fusion, tracking, fine-grained classification, and human intent understanding.
- Own projects through proof of concept, model iteration, onboard deployment, and on-road performance monitoring and troubleshooting.
- Train models on massive-scale data while maintaining deployable onboard latency.
- Build and expand model architectures and optimize accuracy-versus-compute tradeoffs for real-time deployment.
Requirements
- Recent experience applying state-of-the-art deep learning to autonomous driving problems, including modern object detection, sensor fusion, or multi-task learning.
- Strong machine learning fundamentals and demonstrated experience building and expanding model architectures.
- Strong software engineering fundamentals with experience in both Python and C++.
- Experience deploying models in real-time environments is preferred.
- Experience productizing machine learning models and supporting data, large-scale training, and evaluation infrastructure is preferred.
Benefits
- Annual performance bonus, equity, and a competitive benefits package are available.
- The position’s stated base pay range is $183,825.00–$275,975.00 per year, with the range depending on experience, qualifications, education, location, and skills.
Categories
ML EngineeringRobotics
About Nuro
Nuro is a self-driving technology company on a mission to improve everyday life with autonomy. Founded in 2016, Nuro is the universal autonomy platform for the mobility ecosystem, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.