Software engineering intern on Nuro's AI Platform, contributing to Data Platform, Onboard Systems, ML Infrastructure, Simulation, or Technical Infrastructure. Requires current BS/MS student in CS/EE/Robotics with experience in C++, Python, ML, distributed systems.
Salary not listed
On-siteEntry levelFullstack Engineering
About the role
About the Work
Depending on your skill set and areas of interest you will work on some or all of the following:
Data Platform: Comprehensive management system for Nuro AI Driver's data, labels, and metrics. Focuses on data annotation (2D/3D perception, mapping, behavior trajectory, language/text), data ingestion/mining (heuristics, embedding search), and autonomy evaluation infrastructure.
Onboard Systems: Provides reliable, high-performance platform for autonomy software integration across self-driving platforms. Collaborates with software, hardware, and systems/safety teams to ensure safe, reliable operation and resolve errors/performance issues.
ML Infrastructure: Accelerates ML-first autonomy with distributed training platform, ML compiler, model components libraries. Optimizes cloud training and onboard inference; embeds in ML teams for cutting-edge deep learning.
Simulation: Builds simulator for developing/testing autonomous driving in virtual settings. Covers core simulator/frameworks, sensor simulation, scenario generation, and real-world/synthetic data combinations for scalable, realistic simulation.
Current BS or MS candidate in Computer Science, Electrical Engineering, Robotics, or related field graduating in December 2026 or later.
Experience in: backend API design, applications development, large-scale distributed systems; data storage/processing; advanced algorithms using C++ and Python; machine learning, multithreading; x86 architecture; software performance tuning/optimization; robotics software frameworks; compute modalities (CPU, GPU, FPGA), etc.
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