Ai2, founded by Paul Allen, conducts high-impact research and engineering to tackle key problems in artificial intelligence.
About the role
You are a hands-on robotics engineer who thrives at the intersection of theory and system-building, equally comfortable developing low-level controllers as you are deploying learned policies on real hardware. 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.
What they're looking for
- 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
- 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
More about this role
You are a hands-on robotics engineer who thrives at the intersection of theory and system-building, equally comfortable developing low-level controllers as you are deploying learned policies on real hardware. 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. Whether working with real robots or high-fidelity simulators, you bring strong debugging instincts, fluency in Python, and a practical understanding of modern robotics and simulation ecosystems. You care about making systems actually work, not just in isolation, but end-to-end under real-world constraints.
In this role, you will collaborate closely with researchers on high-impact robot learning projects, translating cutting-edge algorithms into robust, deployable behavior. You will help build and iterate on sim-to-real pipelines, develop control and experimentation infrastructure, and enable large-scale learning through GPU-accelerated simulation. This is an environment where engineering rigor meets research ambition: you’ll have the opportunity to shape core system capabilities,...
Read the full posting on Allen Institute for Artificial Intelligence's site ↗
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