Agility Robotics
Robotics · Humanoid robots
- HQ
- Oregon, US
- Website
- agilityrobotics.com
Agility Robotics currently has 9 active AI-related job listings. The majority of these roles, 44%, are focused on agents, with application roles making up another 33%. Engineering is the dominant function, with 8 positions available, and the United States is the primary hiring country with 4 roles. Frequent tech tags include embodied_ai, model_serving, and inference_infra, suggesting a focus on deploying and serving AI models for physical systems. In the last 30 days, Agility Robotics posted 1 new AI role, representing an 86% decrease compared to the previous 30-day period.
Robotics · Humanoid robots
Currently tracking 7 active AI roles, down 22% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $75k–$402k (avg $227k).
Agility Robotics currently has 10 active AI-related roles in our index. The most common open titles are: Director of AI, Robot Learning Engineering Intern, Senior AI Research Engineer , Senior Manager, AI Innovation, Senior Software Engineer, Autonomy Core . Most positions are in Engineering and Research.
Agility Robotics's active AI hiring is concentrated in: agents (40%), application (30%), data (20%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Agility Robotics is hiring AI talent in: United States (5 roles).
Job postings at Agility Robotics most frequently reference: embodied ai, model serving, inference infra, rl robotics, agent orchestration.
In the past 30 days, Agility Robotics has posted 1 new AI-related role. That is a -83% change versus the prior 30 days (6 → 1).
| Title | Stage | AI score |
|---|---|---|
| Senior Manager, AI Innovation Senior Manager of AI Innovation at Agility Robotics, a humanoid robotics company. This role bridges AI/ML research and functional robotic applications, driving research to derisk the product roadmap by solving complex robotics challenges (perceptive real-time planning, whole body-control, learning from demonstration) on a 1-2 year horizon. Responsibilities include overseeing innovation projects from concept to MVP on humanoid platforms, accelerating data flywheel strategy (teleoperation, synthetic data, fleet learning), partnering with hardware/software teams, and managing a team of researchers and engineers. Requires advanced degree, 8+ years AI/ML experience (3+ in management), demonstrated experience in real-time AI for robotics, expertise in computer vision, reinforcement learning, and LLMs for robotics, and experience deploying models on resource-constrained edge devices. | ShipData | 8 |