AI Software Engineer: Intelligent Data Infrastructure
Tasks
- Analyze performance and identify bottlenecks
- Automate Data Curation
- Build AI native storage architecture
- Build high performance infrastructure for AI workloads
- Build intelligent debugging systems
- Build semantic data discovery systems
- Create automated code review tooling
- Create data curation systems
- Design data pipelines for model training
- Design for scalability
- Design storage and networking for LLMs
- Develop AI augmented engineering tools
- Develop scalable AI inference systems
- Implement caching for KV stores
- Implement semantic search
- Integrate vector stores
- Optimize data planes for GPU clusters
- Turn proof of concept into production
Perks/Benefits
- Employee stock purchase plan
- Health insurance
- Life insurance
- Paid time off
- Performance incentives
- Restricted stock units
- Retirement plan
Skills/Tech-stack
C++ | Caching | Datapipelines | DistributedSystems | Filesystems | GPUComputing | Golang | HPC | KVStores | Kubernetes | Linux | MachineLearning | ModelServing | NetworkProtocols | PerformanceAnalysis | Python | RDMA | SemanticSearch | StorageSystems | VectorDatabases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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