Deployment Engineer
Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on Sep 22, 2026.
About the role
What You Will Do Own real deployment problems end to end, from understanding workflows and operating constraints to diagnosing failures in the field. Work directly with robotic systems in commercial and industrial environments where conditions are variable and imperfect. Translate deployment friction into clear research and product questions, including missing capabilities, data needs, evaluation gaps, and stack improvements. Build and adapt systems across the deployment loop, including data collection, task-specific model adaptation or fine-tuning, and evaluation design. Work closely with core research and platform teams so field learnings become reusable capabilities rather than one-off fixes. Contribute technical expertise across areas such as perception, navigation, manipulation, or teleoperation. Help shape how humanoid robots are deployed, improved, and scaled across real-world use cases.
What you'll bring
What They Are Looking For Required skills and experience include: Deep expertise in at least one of the following areas: perception, navigation, manipulation, or teleoperation. Experience deploying AI, robotics, autonomous, or embodied systems in real environments, not only controlled laboratory settings. Ability to work beyond a single specialization when deployment challenges require it. Experience collecting, cleaning, or curating real-world deployment data for model or system improvement. Experience designing evaluations, benchmarks, or testing approaches for systems interacting with real-world environments. Strong communication skills, with the ability to explain complex technical ideas to both technical and non-technical stakeholders. High ownership and comfort working through ambiguity in fast-moving technical environments. Useful Additional Experience Experience moving between software engineering, research, operations, and user or customer conversations. Previous work in a forward-deployed, field robotics, customer-facing engineering, or similarly hands-on technical role. Experience building trust with users while maintaining a strong technical point of view. Curiosity around AI tools and a willingness to use AI as part of everyday engineering and problem-solving workflows.
Benefits and perks
Benefits Competitive compensation and equity participation. Equipment stipend to support an effective working setup. Travel opportunities connected to the work. Dedicated learning and skills development budget. Generous leave and parental leave. Support for software subscriptions and AI infrastructure or credits. Budget for language and presentation skills development.