Field Application Engineer

Delos Data•Palo Alto, CA

2d•Hybrid

About The Position

Software Field Applications Engineer (FAE) Who We Are We are a stealth mode startup building foundational technology to address performance, scalability, and resiliency challenges in large scale AI data center clusters. We are backed by top tier VC firms and notable angel investors. The company is led by experienced builders and operators who have founded companies, taken them to scale, and exited successfully. We work with a strong sense of unity and shared responsibility, and we expect trust, integrity, and respect in how we collaborate and make decisions. We hold ourselves accountable to one another and to the quality of the work we deliver. Headquartered in Silicon Valley, we operate across a mix of remote and on-site locations in the U.S. and Canada. We aim to create an environment where people are treated fairly, supported in their growth, and are empowered to do meaningful work alongside others who take the craft seriously. 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.

Requirements

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%)

Nice To Haves

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

Responsibilities

Partner with sales and marketing team to lead technical discovery, solution design, and product demonstrations of Delos Data’s AI infrastructure software
Own proof‑of‑concept, early‑access, pilot and production deployments end‑to‑end: scoping, success criteria, execution, and conversion to production
Develop and deliver technical presentations, architecture proposals, and competitive evaluations for engineering and executive audiences
Respond to RFPs/RFIs and build the technical justification that supports customer purchase decisions
Provide hands‑on post‑sales support for production deployments, including integration, troubleshooting, performance tuning, and escalation management
Guide customers through software upgrades, cluster expansion, and new feature adoption
Develop runbooks, integration guides, and best‑practice documentation tailored to customer environments
Serve as the technical escalation point between customer operations teams and Delos’ engineering
Build and maintain deep technical relationships with infrastructure, SRE, and platform engineering teams at hyperscale, neocloud, and AI labs customers
Navigate the unique requirements of these environments: multi‑tenancy, custom hardware fleets, extreme scale, strict SLAs, and bespoke integration needs
Align customer deployment milestones and operational needs with Delos product release cycles
Channel structured field feedback for feature gaps, bugs, competitive intelligence into product and engineering
Build demo environments, reference architectures, and technical collateral for the sales organization
Represent Delos Data at industry events, customer briefings, and technical workshops