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Conduct research to improve robot foundation models for fast, reliable task learning and execution. Post-train and benchmark models, perform failure analysis, and integrate models into production robotics stacks for deployment at customer sites.

Lead and run robotics data programs: translate ML priorities into collection/annotation/validation plans, own roadmaps and delivery, improve processes, and build tools to ensure high-quality datasets for model training and evaluation.

Deploy and commission robotic systems at customer sites: install, upgrade, troubleshoot, train users, and provide remote support. Feed field learnings to product and ML teams, assist with robot assembly and testing at HQ, and help scale deployments across the US.

The Software Infrastructure Engineer will build core infrastructure for internal tools, oversee authentication and authorization systems, and onboard new data sources.

The Software Deployment Integrations Engineer will integrate Ultra's robots with customer systems, automate the deployment process, and ensure high-quality production code is delivered.

As a Senior Mechatronics Engineer, you'll design and deploy tooling and components for robots, optimizing performance and ensuring quality while collaborating closely with the engineering team.

As a Senior Machine Learning Engineer, you will own ML infrastructure and data systems, scaling them for large volumes of video data and supporting deep learning training and experimentation.

Lead the evolution of a robot platform by transitioning prototypes to scalable products, ensuring reliability and serviceability while collaborating with teams and suppliers.

The Robotics Software Engineer will design and implement robotic control interfaces, enhance system reliability, and support customer installations. Experience in robotics and software development is crucial.