Senior Software Engineer, ML Infrastructure

Highlights

• Build self-serve ML platform powering humanoid robot Apollo at fleet scale.
• Turn multi-terabyte robot data into autonomy shipped to real hardware.
• Create evaluation gates qualifying models before they reach Apollo robots.

Ideal candidate

Platform-minded builder who thrives owning services end-to-end and enabling researchers. You care about reliability, self-serve developer experience, and turning massive robotics data into real-world autonomy.

Requirements

• 5+ years in ML platforms, data infrastructure, or related fields, or 3+ years owning data and evaluation infrastructure for production models
• Bachelor's or Master's in Computer Science, Machine Learning, or related field, or equivalent experience
• Strong Python and software engineering skills including testing, API design, and code review
• Experience with cloud infrastructure, Kubernetes, Docker, and modern CI/CD
• Experience with ML annotation at scale, combining automatic labeling with human-in-the-loop workflows
• Experience building large-scale evaluation or simulation harnesses on GPU infrastructure