Aurora Innovation
Robotics · Autonomous trucks
- HQ
- Palo Alto, US
- Founded
- 2016
- Website
- aurora.tech
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 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.
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 |
|---|---|---|
| Applied Researcher Research role focused on Vision-Language-Action (VLA) models, exploring and rebuilding architectures to address failure points in current state-of-the-art models for robotics applications. Requires PhD and expertise in VLM/VLA, with a focus on practical implementation and architectural creativity. | Post-train | 9 |
| Applied Researcher Research role focused on Vision-Language-Action (VLA) models, exploring and rebuilding architectures to address failure points in current state-of-the-art models for robotics applications. Requires PhD and expertise in VLM/VLA, with a focus on practical implementation and architectural creativity. | Post-train | 9 |
| Applied Researcher Research role focused on Vision-Language-Action (VLA) models, exploring and rebuilding architectures to address failure points in current state-of-the-art models for robotics applications. Requires PhD and expertise in VLM/VLA, with a focus on practical implementation and architectural creativity. | Post-train | 9 |
| Applied Researcher Research role focused on Vision-Language-Action (VLA) models, exploring and rebuilding architectures to address failure points in current state-of-the-art models for robotics applications. Requires PhD and expertise in VLM/VLA, with a focus on practical implementation and architectural creativity. | Post-train | 9 |
| Machine Learning Engineering TL, Behavior Planning 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. | AgentData | 9 |
| Machine Learning Engineering TL, Behavior Planning 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. | AgentData | 9 |
| Staff Software Engineer, Online Maps 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. | Post-train | 8 |
| 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 |
| Staff Product Program Manager 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. | Agent | 7 |
| Staff Product Program Manager 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. | Agent | 7 |
| Behavior Planning Software Engineer 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. | Agent | 7 |
| 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 |