Key skills
PythonGoCAIMLRAGAgentic
About this role
Role Overview
- Build the AI infrastructure that runs natively on TrueNAS
- Design and implement systems that generate embeddings for data living on TrueNAS
- Build out the inference path using cuVS/CAGRA and similar libraries
- Develop anomaly detection, predictive maintenance, and log analysis systems
- Extend MCP surface so TrueNAS systems are first-class citizens in agent-driven workflows
Requirements
- 3-5 years of varied software engineering experience
- Strong backend engineering fundamentals
- Comfortable in Go, Python, or C
- Hands-on experience with vector search, embedding models, or RAG pipelines in production
- Familiarity with GPU programming or GPU-accelerated libraries (CUDA, cuVS, DALI, TensorRT, or equivalents)
- Comfort working close to the storage and filesystem layer
- ZFS experience is a strong plus; if not ZFS, then equivalent depth in another filesystem
- Experience with Agentic Engineering
- Background in time-series anomaly detection or ML-driven observability
- Contributions to open-source storage, ML infrastructure, or MCP-related projects
- Experience with model quantization (4-bit, BitNet) and on-device inference constraints
- Undergraduate or advanced degree in Computer Science, Computer Engineering, or a related discipline expected, with comparable work experience as an alternative
Tech Stack
- Python
- Go
Benefits
- health, dental, vision, disability, and life insurance
- paid time-off
- 401(k)
- health and flexible spending accounts
- stock purchase plan and more