Agility Robotics

Director of AI

Agility Robotics

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Lead

Tech Stack

Cloud

About the role

  • Define and champion the overall AI strategy and roadmap in alignment with the company's product vision and business goals.
  • Lead the selection and integration of advanced machine learning models, algorithms, and deep learning techniques relevant to embodied AI (e.g., perception, manipulation, natural language understanding).
  • Foster a culture of innovation, rigorous research, and responsible AI development that supports the team's ongoing success.
  • Ensure that all AI systems adhere to the highest standards of safety, privacy, and ethical guidelines.
  • Partner with Hardware and Robot Software leadership to ensure the sensor suite and embedded compute are optimized for current and future AI model architectures.
  • Oversee the design, development, and deployment of on-robot and cloud-based AI systems, leveraging the existing team's expertise.
  • Establish MLOps best practices for efficient model training, deployment, monitoring, and iteration.
  • Drive research into novel AI solutions for complex robotics challenges, such as real-time planning, human-robot interaction, and adaptive motor control.
  • Deliver production-ready AI models that meet performance, latency, and reliability requirements for commercial deployment.
  • Spearhead the Sim2Real strategy, utilizing physics-based simulation (e.g., MuJoCo, Isaac Sim) to train robust policies that transfer seamlessly to hardware.
  • Accelerate our data flywheel strategy to combine teleoperation, synthetic data, and fleet learning to expand the fleet performance and reliability.
  • Champion the existing team's talent and represent their needs to senior leadership.
  • Develop a comprehensive hiring plan to staff and scale the AI team, including defining required roles (e.g., ML Engineers, Data Scientists, AI Researchers).
  • Lead recruitment, mentorship, and career development for all members of the AI team.
  • Manage the budget allocated for team salaries, equipment, and necessary infrastructure.
  • Forecast and manage the budget for cloud computing resources (GPUs, TPUs) necessary for large-scale model training and experimentation.
  • Secure and allocate funding for specialized datasets and data annotation services.
  • Evaluate and procure necessary software licenses and tools for AI development and simulation.
  • Regularly report on expenditure and resource utilization to senior leadership.

Requirements

  • Advanced degree (M.S. or Ph.D.) in Computer Science, Robotics, Electrical Engineering, or a related field.
  • Minimum of 8 years of experience in AI/ML, with at least 3 years in a senior leadership or directorial role.
  • Demonstrated experience in developing and deploying real-time AI solutions for robotics, autonomous systems, or other mission-critical applications.
  • Strong expertise in core AI domains, including computer vision, reinforcement learning, and large language models (LLMs) applied to robotics.
  • Proven track record of managing significant technical budgets and scaling high-performance engineering and research teams.
  • Experience deploying models on resource-constrained edge devices, balancing inference speed, power consumption, and thermal limits.
Benefits
  • 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 10 company holidays, including a winter shutdown.
  • Time Off: Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdeep learningcomputer visionreinforcement learninglarge language modelsMLOpsreal-time AI solutionsAI model deploymentphysics-based simulationdata annotation
Soft Skills
leadershipinnovationmentorshipcareer developmentteam managementstrategic planningcommunicationcollaborationbudget managementresource allocation
Certifications
M.S. in Computer SciencePh.D. in Computer ScienceM.S. in RoboticsPh.D. in RoboticsM.S. in Electrical EngineeringPh.D. in Electrical Engineering