Senior Software Engineer, ML Infrastructure

📋 Description

• Build ML platform: APIs, workers, control planes for self-serve data/model movement
• Turn raw robot/simulation data into training-ready datasets (curation, annotation, versioning
• Make multi-terabyte dataset operations routine (transformation, quality stats, GPU-fed read paths)
• Build simulation & evaluation rollout harnesses, benchmarks, metrics, qualification gates
• Build model store and promotion path (versioning, metadata, packaging with ONNX/TensorRT)
• Provide developer experience tooling (experiment tracking, job submission, sweeps, reproducible

🎯 Requirements

• 5+ years software engineering in ML platforms or data infrastructure (or 3+ years owning data/eval
• Bachelor's/Master's in CS, ML, or related field or equivalent experience
• Experience designing and shipping production systems/services other teams depend on
• Deep experience with large-scale ML data pipelines (multi-terabyte multimodal dataset assembly
• Experience with ML annotation/labeling at scale (automatic + human-in-the-loop)
• Experience building large-scale evaluation or simulation harnesses on GPU infrastructure

🎁 Benefits

• No explicit benefits listed