Agility Robotics
Robotics · Humanoid robots
- HQ
- Oregon, US
- Website
- agilityrobotics.com
Agility Robotics currently has 11 active AI-related job listings. The hiring is distributed across several stages, with "application" and "agents" each representing 36% of the roles. The dominant function is Engineering, with 10 roles, and the primary hiring country is the United States, with 5 positions. The company is frequently seeking expertise in embodied AI, model serving, and RL robotics. In the last 30 days, Agility Robotics posted 2 new AI roles, a decrease from the prior 30-day period.
Robotics · Humanoid robots
Currently tracking 8 active AI roles, down 10% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $55k–$402k (avg $220k).
Agility Robotics currently has 11 active AI-related roles in our index. The most common open titles are: Director of AI, Lead Data Scientist, Robotics, Senior AI Research Engineer, Senior AI Software Engineer, AI Controls, Senior Manager, AI Innovation. Most positions are in Engineering and Research.
Agility Robotics's active AI hiring is concentrated in: application (36%), agents (36%), data (18%). 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 mention: Robotics, Robot Manipulation, Robotics Simulation, Motion Planning, Manufacturing.
In the past 30 days, Agility Robotics has posted 2 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Staff AI Engineer, Perception Staff AI Engineer, Perception at Agility Robotics, focusing on designing, developing, and deploying object detection and tracking algorithms for humanoid robots. The role involves technical leadership, optimizing ML models for embedded systems, and collaborating with other engineering teams to integrate perception capabilities into production robots. | Agent | 8 |
| Staff Robotics Software Engineer, Robot Behaviors Staff Robotics Software Engineer to lead the design and development of robot behaviors, owning behavior design end-to-end from task logic to on-robot validation. The role involves working at the intersection of behavior planning, motion planning, perception, and manipulation, developing new autonomy capabilities, and integrating learned policies into hybrid workflows. | Agent | 7 |
| Software Engineer, Autonomy Behaviors Software Engineer to develop autonomous behaviors for humanoid robots, working on algorithms, simulation, and deployment in real-world applications. Requires strong robotics fundamentals, C++, and Python. |
| Agent |
| 7 |
| Senior Software Engineer, Navigation Senior Software Engineer role focused on designing, implementing, and deploying real-time motion planning and navigation systems for humanoid robots in complex logistics and manufacturing environments. This role is critical for scaling commercial deployments and improving autonomous locomotion behaviors. | Agent | 7 |
| Senior Software Engineer, Autonomy Core Senior Software Engineer to architect and develop core robot software, focusing on middleware, telemetry, and regression testing for autonomous behaviors in dynamic environments. Requires expertise in multi-process robot architectures, distributed systems, and simulation-to-real transitions. | AgentData | 7 |
| Staff Robotics Software Engineer Senior Robotics Software Engineer to lead the design and development of robot behaviors, expanding and generalizing humanoid robot capabilities in real-world environments. This role involves end-to-end ownership from task logic and system design to on-robot validation and deployment, working at the intersection of behavior planning, motion planning, and manipulation. | Agent | 7 |
| Staff Robotics Software Engineer, Object Perception Senior Robotics Software Engineer focused on object perception for real-world robot manipulation. The role involves owning perception performance end-to-end on hardware, from sensor inputs to how outputs are consumed by downstream planners. It requires working with AI/ML engineers, exploring off-the-shelf models, classical computer vision, geometric reasoning, and learned approaches, including training or fine-tuning models. | Agent | 7 |