Software Engineer III – AI

Job not on LinkedIn

🔥 8 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $140k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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iXsystems

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2002

🔧 Hardware

🏢 Enterprise

☁️ SaaS

💰 $2M Venture Round on 2009-09

Hardware • Enterprise • SaaS

iXsystems is a company that specializes in providing comprehensive storage and server solutions driven by open source technology. They offer a variety of storage products under the TrueNAS brand, including the TrueNAS Mini, R-Series, F-Series, H-Series, and M-Series, as well as TrueCommand for management. Their products cater to both general storage needs and high-density GPU servers, providing support through customer portals and a network of resellers and technology partners. iXsystems values a strong community presence, offering resources such as blogs, case studies, and solution guides. Their commitment to open source and community engagement sets them apart in the tech industry.

📋 Description

• 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

🏖️ Benefits

• health, dental, vision, disability, and life insurance • paid time-off • 401(k) • health and flexible spending accounts • stock purchase plan and more