The Allen Institute for Artificial Intelligence

The Allen Institute for Artificial Intelligence

Robotics Engineer

Seattle, WA

Work authorization required$119k-$178kDetected 4 days ago
PythonAlgorithmsMachine LearningComputer VisionLLMsA/B TestingRoboticsControlsResearchExperimental DesignCommunication

About the role

  • Persons in these roles are expected to work from our offices in Seattle.
  • If you have questions about on-site work arrangements for this role, please ask your recruiter.

Responsibilities

  • you'll have the opportunity to shape core system capabilities, influence experimental design, and contribute to projects that push the boundaries of what robots can learn and do in the real world.
  • We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.
  • We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age.

Requirements

  • Masters + 3 years experience or PhD in robotics or relevant field.
  • Exceptional candidates with a bachelor's degree and 3+ years of industry experience are also welcome to apply.
  • Proficiency in Python and modern robotics / simulation ecosystems.
  • You have experience working across the full robotics stack, from reasoning and perception to control and physical execution, and you take a systems-oriented view of complex robotic platforms.
  • Masters + 3 years experience or PhD in robotics or relevant field. Exceptional candidates with a bachelor's degree and 3+ years of industry experience are also welcome to apply.
  • Strong depth of experience working with either physical robots or robotic simulation.
  • Strong development and debugging skills across the full robotics stack (perception → planning or inference → control → hardware).
  • Clear communication and ability to collaborate effectively with research teams.
  • A structured, systems-oriented approach to building and improving complex robotic infrastructure.

Nice to have

  • Experience implementing and tuning real-time control systems along with a strong foundation in control, dynamics, and system identification.
  • Physical Demands and Work Environment:
  • The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position.
  • Must be able to remain in a stationary position for long periods of time.
  • The ability to communicate information and ideas so others will understand.
  • Must be able to exchange accurate information in these situations.
  • The ability to observe details at close range.
  • Can work under deadlines.

Skills

  • Diagnose and resolve complex system behaviors across hardware, software, and runtime.
  • Work with modern GPU-accelerated simulation frameworks to enable large-scale experimentation.

Compensation

  • Our base salary range is $118,800 - $178,200, and in addition we have generous bonus plans to provide a competitive compensation package.

Benefits

  • Our base salary range is $118,800 - $178,200, and in addition we have generous bonus plans to provide a competitive compensation package.
  • While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time.

Company info

  • Ai2's Robotics team is led by Dieter Fox. We aim to develop and leverage scalable simulation domains to scientifically investigate the scaling and generalization capabilities of foundation models for robotics, and use these insights to develop broadly competent robots. Following a longstanding tradition at Ai2, we are committed to fully open-source research and work toward application domains with a positive impact on society.
  • We are looking for applicants interested in robotics, with a focus on core techniques in robot manipulation, large scale training in simulated environments, sim-to-real transfer, robot foundation models, and skill learning.
  • We regularly publish in high-profile conferences and journals in robotics (CoRL, ICRA, RSS), computer vision (CVPR, ICCV, ECCV), and machine learning (e.g., NeurIPS, ICLR, ICML).
  • We collaborate frequently with researchers on other Ai2 teams focused on computer vision, large language models, and others. Our main office has close ties and unique access to researchers at the University of Washington, only 1.5 miles away. Researchers excited about such internal and external collaborations are encouraged to apply.
  • Ai2's Robotics team is led by Dieter Fox.
  • We aim to develop and leverage scalable simulation domains to scientifically investigate the scaling and generalization capabilities of foundation models for robotics, and use these insights to develop broadly competent robots.
  • Following a longstanding tradition at Ai2, we are committed to fully open-source research and work toward application domains with a positive impact on society.
  • We collaborate frequently with researchers on other Ai2 teams focused on computer vision, large language models, and others.
  • Our main office has close ties and unique access to researchers at the University of Washington, only 1.5 miles away.
  • Researchers excited about such internal and external collaborations are encouraged to apply.
  • Your Next Challenge:
  • Our needs include the following competencies.
  • If your experience and interests are a match for some but not all of these areas, we still encourage you to apply.
  • Develop and maintain complete control stacks for robotic systems, including low level control, motion planning, and integration of learned policies.

Visa & Work Authorization

  • This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer i

This listing is sourced directly from The Allen Institute for Artificial Intelligence's careers page and normalized into a canonical job model.