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.
The Senior Manager of AI Perception & Skills will be a key technical leader at Agility Robotics, owning the development of AI-driven perception and skills capabilities for our humanoid robots. You will lead two complementary teams — AI Perception, focused on real-time object detection and scene understanding, and AI Skills, focused on learning from demonstration — driving research and engineering that deliver critical capabilities to production robots. You will build a culture of rigorous experimentation, fast iteration, and extreme ownership. Your focus is applied research and engineering that delivers production impact within a one-year horizon.
This role can be hybrid (3 days on-site per week at one of our offices in Salem, OR, in Pittsburgh, PA or in Fremont, CA) or fully remote, with up to one week of travel per month.
About The Work- Lead end-to-end delivery of AI Perception and Skills capabilities, from research conception through production deployment on robot hardware.
- Own the roadmap and success of both teams, setting clear goals and holding yourself and the team accountable for quality, reliability, and pace.
- Accelerate our data flywheel strategy — combining teleoperation, synthetic data, and fleet learning — to systematically expand robot performance and reliability at scale.
- Champion your team's talent, represent their needs to senior leadership, and foster an inclusive environment where engineers feel safe to experiment and learn from failure.
- Drive performance cycles, build individualized development plans, and lead hiring to grow both teams with high-caliber researchers and engineers.
- Advanced degree (M.S. or Ph.D.) in Computer Science, Robotics, Electrical Engineering, or a related field.
- 8+ years of experience in AI/ML, with 3+ years managing engineering or research teams.
- Demonstrated experience shipping real-time AI systems in robotics, autonomous vehicles, or other mission-critical domains.
- Deep technical expertise in computer vision and learning-from-demonstration (e.g., imitation learning, behavior cloning).
- Experience deploying models on resource-constrained edge hardware, with practical knowledge of inference optimization, power, and thermal constraints.
- Proven ability to build and scale high-performing teams, including hiring, mentorship, and organizational development.
- Experience with teleoperation systems for robot data collection or remote operation
- Experience with humanoid or legged robot platforms in research or production settings
- Experience fine-tuning or adapting foundation models (vision-language, diffusion policy, etc.) for robotics applications
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:
- 401(k) Plan: Includes a 6% company match.
- Equity: Company stock options.
- Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
- Benefit Start Date: Eligible for benefits on your first day of employment.
- Well-Being Support: Employee Assistance Program (EAP).
- Time Off:
- Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
- On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
- Parental Leave: Generous paid parental leave programs.
- Work Environment: A culture that supports flexible work arrangements.
- Growth Opportunities: Professional development and tuition reimbursement programs.
- Relocation Assistance: Provided for eligible roles.
- Annual Discretionary Bonus: Provided for eligible roles.
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
Skills Required
- Advanced degree (M.S. or Ph.D.) in Computer Science, Robotics, Electrical Engineering, or a related field
- 8+ years of experience in AI/ML, with 3+ years managing engineering or research teams
- Demonstrated experience shipping real-time AI systems in robotics, autonomous vehicles, or other mission-critical domains
- Deep technical expertise in computer vision and learning-from-demonstration (e.g., imitation learning, behavior cloning)
- Experience deploying models on resource-constrained edge hardware, with knowledge of inference optimization, power, and thermal constraints
- Proven ability to build and scale high-performing teams, including hiring, mentorship, and organizational development
- Applicants must have current authorization to work in the United States
- Experience with teleoperation systems for robot data collection or remote operation
- Experience with humanoid or legged robot platforms in research or production settings
- Experience fine-tuning or adapting foundation models (vision-language, diffusion policy, etc.) for robotics applications
What We Do
Agility Robotic's legged locomotion expertise is built on a history of academic research and scientific breakthrough. We're here to build robots for good. Robots that help businesses and people thrive.
