Aurora Innovation
Robotics · Autonomous trucks
- HQ
- Palo Alto, US
- Founded
- 2016
- Website
- aurora.tech
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.
Robotics · Autonomous trucks
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 Software Engineer, Deep Learning Acceleration Staff Software Engineer focused on Deep Learning Acceleration for Aurora's Autonomous Vehicle (AV) systems. The role involves performance analysis and optimization of deep learning networks for both onboard vehicle deployment and large-scale data center training. Responsibilities include optimizing software architecture, system performance, and latency, troubleshooting using profiling and roofline models, and collaborating with cross-functional teams. Requires strong CUDA, C++, Python skills, high-performance computing experience, and proficiency with deep learning frameworks and performance analysis tools. | Serve | 7 |
| Staff Software Engineer, Deep Learning Acceleration Staff Software Engineer focused on Deep Learning Acceleration for Aurora's Autonomous Vehicle (AV) systems. The role involves performance analysis and optimization of deep learning networks for both onboard vehicle deployment and large-scale data center training. Responsibilities include optimizing software architecture, system performance, and latency, troubleshooting using profiling and roofline models, and collaborating with cross-functional teams. Requires strong CUDA, C++, Python skills, high-performance computing experience, and proficiency with deep learning frameworks and performance analysis tools. | Serve | 7 |
| Staff Software Engineer, Deep Learning Acceleration Staff Software Engineer focused on Deep Learning Acceleration for Aurora's Autonomous Vehicle (AV) systems. Responsibilities include performance analysis and optimization of deep learning networks for both onboard vehicle deployment and large-scale data center training, troubleshooting performance issues using profiling and roofline model techniques, and collaborating with cross-functional teams to enhance self-driving technology efficiency. | Serve | 7 |