[Remote] Software Engineer III (AI)

Note: The job is a remote job and is open to candidates in USA. TrueNAS is redefining enterprise storage by delivering proven data resilience, performance, and flexibility without the complexity of legacy solutions. As a Software Engineer III (AI), you'll build the AI infrastructure that runs natively on TrueNAS, turning a storage platform into an active participant in modern AI workflows.ResponsibilitiesOn-array vectorization pipelines. Design and implement the systems that generate embeddings for data living on TrueNAS - including per-file sidecar generation driven by filesystem events and snapshot-time index compilationGPU-accelerated inference. Build out the inference path using cuVS/CAGRA and similar libraries, targeting NVIDIA L4/A2-class GPUs in appliance form factors. You'll make decisions about model selection, quantization tradeoffs, and how inference workloads coexist with storage workloads on the same hardwareAIOps. Develop anomaly detection, predictive maintenance, and log analysis systems that consume the telemetry TrueNAS already produces. The goal is fleet-scale insight that's actually useful to operators, not dashboards full of noiseMCP and adjacent integrations. Extend our MCP surface so TrueNAS systems are first-class citizens in agent-driven workflows - both as data sources and as systems agents can operate onSkillsStrong backend engineering fundamentals. You're comfortable in Go, Python, or C and can pick up the others. You've shipped systems that handle real loadHands-on experience with vector search, embedding models, or RAG pipelines in production. You understand the difference between a demo and something that holds up under scaleFamiliarity 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 filesystemExperience with Agentic Engineering. You should have a solid understanding of how to use AI-first development workflows for most common engineering disciplinesBackground in time-series anomaly detection or ML-driven observabilityContributions to open-source storage, ML infrastructure, or MCP-related projectsExperience with model quantization (4-bit, BitNet) and on-device inference constraintsAn undergraduate or advanced degree in Computer Science, Computer Engineering, or a related discipline is expected, with comparable work experience as an alternativeBenefitsHealth, dental, vision, disability, and life insurancePaid time-off401(k)Health and flexible spending accountsStock purchase planCompany OverviewRelied upon by millions in over 140 countries, TrueNAS is an award-winning universal data platform used by a majority of Fortune 500 companies. It was founded in 2002, and is headquartered in Campbell, California, USA, with a workforce of 201-500 employees. Its website is http://ixsystems.com.