ML Infra Engineer (Data Systems)
Physical IntelligenceRobotics company
San Francisco, United StatesMid
CapitalG
Lux Capital
Thrive Capital
Index Ventures
T. Rowe Price
Jeff Bezos
Data & AI
About the role
TL;DR
Build and operate data infrastructure for large-scale robot learning.
- •As an ML Infra Engineer (Data Systems), you’ll build and operate the data infrastructure that powers large-scale robot learning.
- •Key Responsibilities Design and build high-throughput pipelines that validate, transform, and featurize raw multimodal data.
- •Operate large-scale batch and streaming workflows over massive datasets.
- •Design object storage layouts, metadata systems, and efficient access patterns; choose file formats with performance and scalability in mind.
- •Requirements Strong software engineering fundamentals.
- •Experience building distributed systems or large-scale data pipelines.
- •Comfort reasoning about performance, memory, I/O, and storage efficiency.
Required skills
PythonApache KafkaPostgreSQLMySQLMongoDBRedisAWSDockerKubernetesCI/CDGitLinux
Nice-to-have skills
Apache FlinkSpark
Domain expertise
ai
Tech stack
PythonApache KafkaApache FlinkSparkPostgreSQLMySQLMongoDBRedisAWSDockerKubernetesCI/CDGitLinux
