Graduate 2026 PhD Software Engineer II (AV… at Uber · Sunnyvale

Summary: Uber is seeking a Graduate PhD Software Engineer II for its AV Labs initiative, focusing on the development of autonomous technology. The role involves designing and deploying machine learning systems for autonomous driving applications, utilizing advanced techniques in AI, robotics, and data processing. Responsibilities: - Design, build, and deploy production-grade machine learning systems for autonomous driving applications, including perception, prediction, and decision-making - Develop and apply advanced techniques in computer vision, deep learning, robotics, and sequential decision-making to handle complex, real-world driving scenarios - Translate state-of-the-art research into scalable, high-impact solutions for autonomy systems operating in dynamic urban environments - Build and optimize large-scale data pipelines for sensor data ingestion, processing, and auto-labeling to accelerate model development - Architect and improve infrastructure for high-throughput training and low-latency inference in safety-critical, real-time systems - Own your work end-to-end: from problem formulation and modeling to offline evaluation, simulation, production deployment, and continuous iteration - Identify and solve edge cases and long-tail scenarios to improve system robustness and safety - Collaborate cross-functionally with engineers across platform, infrastructure, and product teams to deliver integrated autonomy solutions - Champion engineering excellence through code quality, rigorous testing, reproducibility, and system reliability in safety-critical environments Required Qualifications: - Completing or recently completed a PhD in Computer Science, Robotics, Machine Learning, Computer Vision, Electrical Engineering, or a related technical field Preferred Qualifications: - Strong publication record in top-tier AI, ML, robotics, or computer vision conferences - Deep knowledge of machine learning for robotics, computer vision, or autonomous systems - Experience working with large-scale sensor data (e.g., camera, LiDAR) and building data pipelines for ML applications - Strong proficiency in Python and experience with modern ML frameworks such as PyTorch - Experience developing or deploying ML models in real-world or safety-critical systems - Familiarity with C++ and high-performance or real-time systems - Proven ability to translate research into production-grade systems - Excellent communication skills, with the ability to explain complex technical concepts to cross-functional stakeholders Required Skills: Machine Learning, Robotics, Computer Vision, Python, PyTorch, C++, Large-scale Sensor Data Processing, Data Pipelines, Production-grade ML Systems, Real-time Systems, Safety-critical Systems Benefits: You will be eligible to participate in Uber's bonus program, May be offered an equity award & other types of comp, All full-time employees are eligible to participate in a 401(k) plan, You will also be eligible for various benefits