Aurora Innovation currently has 19 active AI-related job listings. The majority of these roles, 53%, are focused on agents, with post-training and application roles also present. The company is primarily hiring for engineering positions. Recent hiring activity shows a significant increase, with 7 new AI roles posted in the last 30 days, a 133% rise compared to the previous 30-day period.
Currently tracking 10 active AI roles, down 36% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $112k–$303k (avg $201k).
Aurora Innovation currently has 20 active AI-related roles in our index. The most common open titles are: Staff Product Program Manager (6), Applied Researcher (4), Staff Software Engineer, Deep Learning Acceleration (3), Machine Learning Engineering TL, Behavior Planning (2), Behavior Planning Software Engineer. Most positions are in Engineering and Research.
Aurora Innovation's active AI hiring is concentrated in: agents (45%), post-training (25%), serving infrastructure (15%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Aurora Innovation is hiring AI talent in: United States (13 roles).
Job postings at Aurora Innovation most frequently mention: Machine Learning, Autonomous Driving, Planning & Reasoning, Foundation Models, System Design.
In the past 30 days, Aurora Innovation has posted 6 new AI-related roles. That is a -25% change versus the prior 30 days (8 → 6).
| Title | Stage | AI score |
|---|---|---|
| Staff Safety Data Scientist, Safety Analysis 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. | Ship | 7 |