Data Infra高级研发工程师（AI与具身智能数据平台方向）
Tasks
- Build end to end physical AI data platform
- Build high concurrency high throughput data processing engine
- Create data visualization and annotation toolchain
- Design and develop heterogeneous compute scheduling system
- Develop data storage cleaning and processing pipelines
- Develop high availability microservices using Go and Python
- Implement distributed job scheduling and task dispatching
- Manage Kubernetes cluster compute utilization
- Support large scale data replay and remote device testing
Perks/Benefits
- N/A
Skills/Tech-stack
Asynchronous processing | Automated testing | CI/CD | CRD | Cloud Native | Container Networking | Container Orchestration | Container Storage | Data Annotation | Data Storage | Data Visualization | Data cleaning | Data pipeline | Distributed Systems | GPU scheduling | Golang | HDF5 | High Availability | High Throughput | High concurrency | Job Scheduling | Kubernetes | Lerobot | MCAP | Microservices | Multimodal Data | NPU | Operator | Python | ROS Bag | Resource Management | Series data | Time Series | Time Series Data
Education
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