Senior MLOps Architect - Robotics Platform

Apptronik; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Apptronik in Austin, Texas is looking for a Staff MLOps Engineer to lead the technical direction of our MLOps platform, connecting data collection and deployed autonomy. This hands-on role requires deep proficiency in Python, experience with ML platforms, and strong collaborative mentoring skills.

Ideal candidates will have a Master's degree in Computer Science or related fields and 8+ years of software engineering experience. Join us in shaping robotics and AI technology for practical applications across various industries.

Qualifications

• 8+ years of professional software engineering experience in ML platforms or related infrastructure.
• Proficiency in Python and at least one systems-level language.
• Proven experience owning an MLOps platform end-to-end.

Responsibilities

• Own the technical direction of the MLOps platform.
• Define subsystem interfaces and drive architecture decisions.
• Mentor mid-level and senior engineers on the MLOps team.

Skills

Python

Systems-level language (Go, Rust, C++)

MLOps platform ownership

Robotics experience

Cloud infrastructure (AWS, GCP, Azure)

Education

Master’s degree in Computer Science or related field

Bachelor’s with exceptional experience

Tools

Docker

MLflow

Kubernetes

Job description

Apptronik in Austin, Texas is looking for a Staff MLOps Engineer to lead the technical direction of our MLOps platform, connecting data collection and deployed autonomy. This hands-on role requires deep proficiency in Python, experience with ML platforms, and strong collaborative mentoring skills.

Ideal candidates will have a Master's degree in Computer Science or related fields and 8+ years of software engineering experience. Join us in shaping robotics and AI technology for practical applications across various industries.