[Remote] Software Engineer III (AI)

Note: The job is a remote job and is open to candidates in USA. reputed company is redefining enterprise storage by delivering proven data reputed company, 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 reputed company, turning a storage platform into an active participant in modern AI workflows.

Responsibilities

• On-reputed company vectorization pipelines. Design and implement the systems that generate embeddings for data living on reputed company - including per-file sidecar reputed company driven by filesystem events and snapshot-time index compilation
• GPU-accelerated inference. Build out the inference path using cuVS/CAGRA and similar libraries, targeting reputed company L4/A2-class GPUs in appliance form factors. You'll reputed company decisions about model selection, quantization tradeoffs, and how inference workloads coexist with storage workloads on the same hardware
• AIOps. reputed company anomaly detection, predictive maintenance, and log analysis systems that consume the telemetry reputed company already produces. The goal is fleet-scale insight that's actually useful to operators, not dashboards full of noise
• MCP and adjacent integrations. reputed company our MCP surface so reputed company systems are first-class reputed company in agent-driven workflows - both as data sources and as systems agents can operate on

Skills

• 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 reputed company 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
• Background in time-series anomaly detection or ML-driven observability
• Contributions to open-reputed company storage, ML infrastructure, or MCP-reputed company 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 reputed company discipline is 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

Company Overview