Why this role stands out
This hybrid role at Xdof offers incredible opportunities to develop a broad skill set by tackling diverse, high-impact challenges across the entire software stack in the exciting field of robotics AI. You'll thrive here if you're a proactive, adaptable engineer eager to contribute to a groundbreaking company shaping the future of AI. Apply now to join a dynamic team and make a significant impact!
Quick overview
Job description
At XDOF, we’re at an inflection point. Frontier labs are racing to build general-purpose robots, and high-quality training data is the bottleneck. We’re building the foundation behind the foundation models – the data collection systems, operational capability, exabyte-scale data warehouse, and model evaluation platform – to help our partners drive the field forward.
We’re hiring generalist software engineers who can work across our robotics platform. Your work could touch anything from our low-level data collection systems, our simulation code, our evaluation pipelines, or our operations management. There’s a huge range of problems to solve here, and the only constant is that you’ll have a problem to solve.
What You’ll Do
Generalist engineers work on whatever has the highest impact. Examples include:
building backend services and APIs for our robotics platform and customer-facing product
building the orchestration layer for workflows that leverage real robotic hardware
developing and implementing the architecture for a real2sim pipeline
scripting integrations between hardware systems, cloud infrastructure, and software services
You might be a good fit if you have:
strong programming skills in Python or C++
the ability to ramp up quickly in unfamiliar codebases, tools, and problem domains
built and shipped software in fast-moving environments where your role wasn’t clearly defined
worked across multiple domains (backend, frontend, data, infra, scripting) even if you’re not an expert in all of them
experience building systems that interact with physical hardware or manage compute-heavy workloads
experience with AI, robotics, or large-scale data systems
Bonus points if you have:
worked in real-time systems, robotics infrastructure, simulation, rendering, 3D engines, or streaming systems
experience working with different sensor systems (video encoding, camera data, perception systems)
familiarity with distributed systems
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