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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manipulation Engineer (Imitation Learning), Discovery - **Company:** Anduril Industries - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $166,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Learning Management Systems, Python (Programming Language), Robotic Automation Software, Pytorch, Deep Learning, Stable Diffusion - **Published:** May 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2c5819d65fcdaa21 ## About the Role Do you have experience in Robotic systems?, * 3+ years of experience developing and deploying robot learning systems on real robots * Strong background in robot manipulation and visuomotor control * Experience with behavior cloning, imitation learning, or related methods * Hands-on experience with teleoperation systems and demonstration data collection * Proficiency in Python, PyTorch, and modern deep learning frameworks * Experience with LeRobot, ACT, Diffusion Policy, or similar IL frameworks * Eligible to obtain and maintain a U.S. security clearance, * Experience deploying learned manipulation in production or commercial robotic systems * Experience with dexterous hands or multi-fingered grippers * Prior work on bimanual manipulation * Publications in manipulation, robot learning, or embodied AI ## Description We are seeking a Senior Manipulation Engineer to develop learned manipulation policies for robotic platforms operating in unstructured environments. You will build the skill policies that enable our systems to grasp objects, operate tools, turn valves, open doors, and perform assembly tasks - trained from human demonstration data and deployed on real hardware. You will own the full loop: teleoperation data collection, policy training, real-world evaluation, and iteration., * Design, train, evaluate, and deploy visuomotor manipulation policies using behavior cloning and imitation learning (ACT, Diffusion Policy, VLA models) * Build and maintain the teleoperation and data collection pipeline for real-robot demonstration capture * Develop task-specific skill policies for grasping, tool use, bimanual manipulation, and assembly operations * Own the full pipeline from data collection to model training, evaluation, and deployment on embedded compute * Collaborate with locomotion engineers to integrate manipulation skills into a whole-body control architecture * Work with perception engineers to design vision inputs for skill policies, To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: * No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. * Please always verify communications: + Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. + Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. * Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. * What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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