后端资深研发工程师
Tasks
- Build data storage cleaning mining and data flow mechanisms
- Build end to end physical AI data platform
- Create data visualization and annotation toolchain
- Design and develop heterogeneous compute scheduling system
- Develop microservices for data replay and distributed task dispatch
- Enable remote device testing and troubleshooting
- Implement high concurrency data processing engine for multi modal data
- Optimize cluster utilization using cloud native frameworks
- Support issue tracking and diagnosis
Perks/Benefits
- N/A
Skills/Tech-stack
Asynchronous jobs | CI/CD | CRD | CRD Operator | Cloud Native | Container Networking | Container Orchestration | Container Storage | Data Mining | Data Storage | Data Visualization | Data cleaning | Data labeling | Distributed Systems | GPU scheduling | Go | HDF5 | High Availability | High Throughput | High concurrency | Kubernetes | MCAP | Microservices | Multimodal Data | NPU | Operator | Python | REST API | ROS Bag | Series data | Time Series | Time Series Data
Education
Roles
Backend | Backend Engineer | Engineer | Senior Backend Engineer
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