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Apptronik is building Apollo, a general-purpose humanoid robot, and the physical AI that drives it. Scale is the name of the game: every robot and teleoperator we field produces synchronized video, proprioceptive, tactile, and force-torque streams, and the fleet's output grows with every deployment. Turning that volume of data into shipped autonomy — routinely, at multi-terabyte scale — is what this role is about.
We are looking for a Senior Software Engineer, ML Infrastructure to build that platform: the self-serve services and pipelines that carry data from collection through curation, training, and evaluation to a qualified model running on real hardware. Much of it is being created ground-up for the long term — humanoid robotics has few off-the-shelf answers — so the team builds first-party platform services alongside the open-source and commercial tooling we adopt where it genuinely fits.
This is a hands-on role on a small team whose platform is depended on daily by researchers and engineers across MLOps, Autonomy, Data Platform, and TeleOp.
Apptronik is building Apollo, a general-purpose humanoid robot, and the physical AI that drives it. Scale is the name of the game: every robot and teleoperator we field produces synchronized video, proprioceptive, tactile, and force-torque streams, and the fleet's output grows with every deployment. Turning that volume of data into shipped autonomy — routinely, at multi-terabyte scale — is what this role is about.
We are looking for a Senior Software Engineer, ML Infrastructure to build that platform: the self-serve services and pipelines that carry data from collection through curation, training, and evaluation to a qualified model running on real hardware. Much of it is being created ground-up for the long term — humanoid robotics has few off-the-shelf answers — so the team builds first-party platform services alongside the open-source and commercial tooling we adopt where it genuinely fits.
This is a hands-on role on a small team whose platform is depended on daily by researchers and engineers across MLOps, Autonomy, Data Platform, and TeleOp.
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Austin, USA
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5+ years of professional software engineering experience in ML platforms, data infrastructure, or related fields, OR 3+ years of direct, hands-on experience owning the data and evaluation infrastructure behind models shipped to production.
Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field, or equivalent experience.
Private humanoid robotics company developing AI-powered robots for manufacturing, logistics, and future healthcare and home applications.
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Senior · 5+ years experience
Onsite
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