Physicalintelligence
ML Infra Engineer, Data Systems
- Confirmed live in the last 24 hours
- No salary listed
- Mid level
- Full-time
- On-site · San Francisco
- Added 1 month ago
About this role
Physical Intelligence is seeking an ML Infra Engineer to develop and manage the data infrastructure that powers their robot learning systems. You'll focus on building high-throughput pipelines and optimizing storage to ensure efficient data movement and processing at scale. This role requires a blend of systems engineering, distributed systems expertise, and a collaborative approach to working with researchers and roboticists.
What you'll do
- Design and build high-throughput data ingestion pipelines.
- Operate large-scale batch and streaming workflows.
- Design object storage layouts and metadata systems.
- Implement data lifecycle management solutions.
- Optimize dataloaders and data throughput for training.
- Build scalable metadata stores for datasets.
What they're looking for
- Distributed systems
- Data pipelines
- Object storage
- Batch processing
- Streaming processing
- Software engineering
- Metadata management
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Physicalintelligence
Likely interview questions
- Describe your experience building distributed systems or large-scale data pipelines.
- How do you approach performance optimization in data-heavy systems?