Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
About the Role
We are looking for a Senior Robotics Software Engineer to join our Skills team, focusing on object perception for real-world robot manipulation. In this role, you will be close to the real robot, owning perception performance end-to-end on hardware: from sensor inputs, to perception algorithms and models, to how those outputs are consumed by downstream planners to enable robust manipulation in real customer environments. You will work closely with other AI/ML engineers, exploring off-the-shelf models, classical computer vision, geometric reasoning, and learned approaches to build perception systems that are reliable, debuggable, and performant on real robots. In some cases, that will involve training or fine-tuning models; in others, it will mean integrating proven techniques or existing libraries to meet the task requirements efficiently.
About the Work
- Own object perception performance on the robot, from sensors through runtime behavior integration
- Design, implement, and deploy perception pipelines for manipulation, including object pose estimation, depth reasoning, and scene understanding
- Work hands-on with real robots to debug, tune, and harden perception systems under real-world variability
- Collaborate with AI/ML teams to evaluate, integrate, train, and fine-tune perception models
- Explore and integrate off-the-shelf perception solutions and libraries where they meet performance and reliability needs
- Combine learned models with classical CV, geometry, and task structure to meet system-level requirements
About You
- BS or MS in Robotics or related field
- 5+ years of professional experience building object perception systems for real robotic platforms
- Experience working across learned models and classical perception approaches
- Experience training, fine-tuning, and evaluating perception models
- Strong experience writing production-quality C++ and Python code
You Might Also Have
- Solid understanding of spatial reasoning
- Demonstrated ability to apply object perception model outputs (detection, segmentation, pose estimation) in manipulation pipelines
- Experience with structured 3D estimation (plane fitting, normal estimation, voxel maps, etc)
This is a hybrid role based out of one of our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
Apply Now: https://grnh.se/b444bbd04us
