Field Application Engineer
Palo Alto, California, United StatesAll locationsPalo Alto, California, United StatesU.S Hybrid
$140,000–$180,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
As a Software Field Applications Engineer at Delos Data, you will operate at the intersection of customers, engineering, and sales. You’ll lead technical pre‑sales engagements for our Nonstop AI ™ software products, drive early‑access and production deployments, and provide hands‑on post‑sales support for customers running Delos Nonstop AI™ in production. With deployments underway at select customers and a growing public presence at events like NVIDIA GTC and Computex, we're hiring a Software FAE to be the technical face of Delos Data with our most demanding customers who are hyperscalers, neoclouds, and frontier AI Labs operating AI infrastructure at massive scale. You will be the trusted technical partner for customers operating AI infrastructure at an extreme scale and the primary conduit for customer insights back into our product and engineering teams. As a Software Field Applications Engineer at Delos Data, you will operate at the intersection of customers, engineering, and sales. You’ll lead technical pre‑sales engagements for our Nonstop AI ™ software products, drive early‑access and production deployments, and provide hands‑on post‑sales support for customers running Delos Nonstop AI™ in production. You will be the trusted technical partner for customers operating AI infrastructure at an extreme scale and the primary conduit for customer insights back into our product and engineering teams.
What you'll bring
- 5+ years in a customer‑facing technical role (FAE, sales engineer, solutions architect, or TAM) for infrastructure software
- Proven experience supporting or selling AI infrastructure software spanning orchestration, telemetry, analytics, and management — e.g., Kubernetes, Slurm, Tinkerbell, Canonical MaaS, observability stacks, or infrastructure management platforms
- Direct experience working with hyperscalers, neoclouds, AI labs as customers, with an understanding of their procurement processes, technical expectations, and operational scale
- Strong working knowledge of AI compute environments: GPU/XPU clusters, high‑speed interconnects (InfiniBand/RoCE/Ethernet/NVLink), job scheduling, and inference/training workloads
- Hands‑on proficiency with Linux, containers, APIs, and scripting (Python, Bash) for demos, integrations, and troubleshooting
- Excellent communication skills — able to whiteboard cluster architecture with SREs and brief senior infrastructure leaders with clarity
- Willingness to travel to customer sites and industry events as needed (typically 25–40%)
- Experience taking early‑stage or pre‑launch products into hyperscale accounts
- Familiarity with inference serving and performance optimization (e.g., KV‑cache behavior, disaggregated serving, GPU utilization analysis)
- Background with observability stacks (Prometheus, Grafana, OpenTelemetry) and data pipelines for infrastructure analytics
- Prior experience at an AI infrastructure software vendor, GPU cloud provider, networking vendor, or hyperscaler