Senior ML Infrastructure Engineer – Robotics Platform

Apptronik; Austin, Northern (TX, KY); Hybrid; USD 170,000 - 260,000; Full time

Job summary

Apptronik in Austin, TX is building Apollo, a general-purpose humanoid robot, and the ML infrastructure that powers its data-to-model lifecycle. Scale is the name of the game: every robot and operator generates multi-terabyte data streams, and turning that data into shipped autonomy is the focus of this role.

We are seeking a Senior Software Engineer, ML Infrastructure to own the self-serve platform and pipelines that move data from collection through training and evaluation to a qualified model

Qualifications

• Experience designing and shipping production ML platform services used by researchers and engineers.
• Deep hands-on experience with large-scale ML data pipelines handling multimodal data (video, telemetry, sensors).
• Experience building evaluation, simulation, or rollout harnesses for ML models.

Responsibilities

• Build ML platform APIs, workers, and control planes to move data and models from collection to qualified deployment.
• Develop data curation, annotation workflows, and versioning with traceability to raw data.
• Create scalable evaluation, simulation, and model promotion pipelines on GPUs and robot hardware.
• Improve developer experience with tooling for experiment tracking, training jobs, and reproducible environments.

Skills

Large-scale data pipelines

Annotation & labeling at scale

Evaluation & simulation harnesses

Python

Cloud infrastructure

Kubernetes

Docker

CI/CD

ML data tooling

Education

Bachelor's or Master's in Computer Science / Machine Learning

Tools

Parquet

Arrow

S3/MinIO

lakeFS

DVC

Iceberg

Job description

Apptronik in Austin, TX is building Apollo, a general-purpose humanoid robot, and the ML infrastructure that powers its data-to-model lifecycle. Scale is the name of the game: every robot and operator generates multi-terabyte data streams, and turning that data into shipped autonomy is the focus of this role.

We are seeking a Senior Software Engineer, ML Infrastructure to own the self-serve platform and pipelines that move data from collection through training and evaluation to a qualified model