> Markdown version of [/jobs/ext/580203-software-engineer-iii-ai](https://www.wearedevelopers.com/jobs/ext/580203-software-engineer-iii-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer III (AI) - **Company:** Ixsystems Inc. - **Location:** Campbell, CA, United States (Remote available) - **Salary:** $140,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Nvidia CUDA, Computer Engineering, Python (Programming Language), Log Analysis, Machine Learning, Open Source Technology, Search Technologies, Software Engineering, AI Infrastructure, Graphics Processing Unit (GPU), Large Language Models, Gpu Programming, Backend, AI Platforms, Information Technology, Machine Learning Operations, ZFS File System, TensorRT - **Published:** June 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1a7034a93526cf98 ## About the Role * Strong backend engineering fundamentals. You're comfortable in Go, Python, or C and can pick up the others. You've shipped systems that handle real load. * Hands-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 scale. * 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. You should have a solid understanding of how to use AI-first development workflows for most common engineering disciplines. Strong plus: * 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. * An undergraduate or advanced degree in Computer Science, Computer Engineering, or a related discipline is expected, with comparable work experience as an alternative. In addition to your education and experience, the following skills and abilities are desired in the ideal candidate for this position: Collaboration, Communication, Personal Effectiveness, Delivery, Problem Solving, Strategic Thinking, and Analytical Thinking. ## Description 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, rather than a passive backend. This role typically suits engineers with a few years of varied software engineering experience, often around 3-5 years, and sits at the intersection of ZFS internals and applied ML infrastructure., The focus of this role will be in the development and optimization of critical capabilities that may include: * On-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 compilation. * GPU-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 hardware. * AIOps. 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 noise. * MCP 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 on. This prepares you for Software Engineer IV (AI), broadening your scope and influence over the AI platform direction. ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Trends, Challenges and Best Practices for AI at the Edge](https://www.wearedevelopers.com/videos/630-trends-challenges-and-best-practices-for-ai-at-the-edge) - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)