Machine Learning Engineering TL for Behavior Planning at Aurora Innovation. This role involves defining the architecture of onboard planning models using Imitation Learning and Reinforcement Learning, building a next-generation simulation engine with foundation models, and developing critic models for evaluating driving behavior. The position requires bridging research and production by deploying models on real vehicles and mentoring junior engineers. Requires MS/PhD or equivalent experience, 8+ years in ML, hands-on IL/RL experience, distributed training, Python, and PyTorch/ML frameworks with Transformers/Diffusion Models.

Machine Learning Engineering TL for Behavior Planning at Aurora Innovation. This role involves defining the architecture of onboard planning models using Imitation Learning and Reinforcement Learning, building a next-generation simulation engine with foundation models, and developing critic models for evaluating driving behavior. The position requires bridging research and production by deploying models on real vehicles and mentoring junior engineers. Requires MS/PhD or equivalent experience, 8+ years in ML, hands-on IL/RL experience, distributed training, Python, and PyTorch/ML frameworks with Transformers/Diffusion Models.

Staff Software Engineer for Online Maps at Aurora Innovation, focusing on developing and implementing perception algorithms and deep learning models to improve the Aurora Driver's ability to navigate in real-time world changes. The role involves building infrastructure and tests for production deployment and ensuring map data is ready for operation without a vehicle operator.

Staff Product Program Manager for Aurora's Behavior Planning team, focusing on developing algorithms for safe and comfortable trajectories for autonomous vehicles. This role involves deep partnership with engineering leads, planning and prioritizing development, managing complex projects, and understanding technical implementations at an architectural level.

Staff Product Program Manager for Aurora's Behavior Planning team, focusing on developing algorithms for safe and comfortable trajectories for autonomous vehicles. This role involves deep partnership with engineering leads, planning and prioritizing development, managing complex projects, and understanding technical implementations at an architectural level.

Software Engineer II, Behavior Planning ML Platform at Aurora Innovation. This role focuses on building and optimizing the ML platform for self-driving technology, including offline pipelines for data extraction, model training, and evaluation, as well as onboard infrastructure for model deployment and inference. Requires BS degree, C++/Python skills, and ML framework experience.

System Test Engineer II, Autonomy Behavior role focused on developing and implementing novel performance and behavioral severity assessment methods for the Aurora Driver, ensuring safe and reliable operation. This involves designing, developing, and executing test processes, analyzing results from various environments, identifying suboptimal performance, and collaborating with cross-functional teams to improve system performance and reduce risk.

Software Engineer for the Behavior Planning Team at Aurora Innovation, focusing on developing real-time algorithms for self-driving vehicle trajectories, integrating motion planning with machine learning for verifiable AI systems, and implementing production-grade software. Requires strong programming skills in Python/C++ and experience with motion planning algorithms.

Staff Software Engineer on the Autonomy Data: Continuous Learning team at Aurora, focusing on improving dataset quality and models using foundation models and RLHF techniques. The role involves owning model training and inference pipelines, establishing semi-automated evaluation mechanisms, and expanding foundation model approaches for sourcing events. Requires Python, C++, cloud environments, and knowledge in computer vision, LLMs, or deep learning.

Staff Safety Data Scientist role at Aurora Innovation focused on leading critical safety research for autonomous vehicles. The role involves applying advanced statistical and probabilistic modeling to analyze safety data, inform hardware/software decisions, and develop leading indicators for future performance. Responsibilities include developing quantitative data analytics, authoring technical analyses, designing data collection, and mentoring junior team members. Requires a strong background in risk and hazard assessment, data science techniques, and excellent communication skills.

Staff Software Engineer on the Autonomy Data: Continuous Learning team at Aurora, focusing on improving dataset quality and models using foundation models and RLHF techniques. The role involves owning model training and inference pipelines, establishing semi-automated evaluation mechanisms, and expanding foundation model approaches for sourcing events. Requires Python, C++, cloud environments, and knowledge in computer vision, LLMs, or deep learning.

Software Engineer II, Controls Data & Simulation at Aurora Innovation. This role involves developing data-driven vehicle simulators, building data pipelines for simulation scenarios, and analyzing data to ensure the safety and performance of self-driving vehicles. It operates at the intersection of ML, Software Engineering, Data Science, and Vehicle Dynamics, focusing on model development, infrastructure, and data analysis.