Delos Data

Delos Data

Field Application Engineer

Palo Alto

Sponsorship not specified$25k-$40kDetected 40 days ago
PythonBashKubernetesLinuxPrometheusGrafanaSite Reliability EngineeringPlatform EngineeringData EngineeringSalesProcurementCustomer SupportUnityLeadershipCommunicationPublic Speaking

About the role

  • As a Software Field Applications Engineer at Delos Data, you will operate at the intersection of customers, engineering, and sales.

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
  • Customer Support & Success
  • Provide hands‑on post‑sales support for production deployments, including integration, troubleshooting, performance tuning, and escalation management
  • Develop runbooks, integration guides, and best‑practice documentation tailored to customer environments
  • Influence over how Delos Data sells, deploys, and supports its software

Requirements

  • 5+ years in a customer‑facing technical role (FAE, sales engineer, solutions architect, or TAM) for infrastructure software
  • 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

Nice to have

  • 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
  • Direct access to engineering leadership and a fast feedback loop from field to product

Compensation

  • Target base salary for this role is $140,000-$180,000 per year + meaningful equity + benefits + 401k. Salary ranges are determined by role, level, experience, and location.
  • We do not accept resumes from agencies or search firms.
  • Please do not forward candidate profiles through our careers page, email, LinkedIn messages, or directly to company employees.
  • Any resumes submitted will be deemed the property of the company, and no fees will be paid in the event the candidate is hired.
  • We value a range of perspectives and experiences and make employment decisions based on merit and business needs.
  • We do not discriminate on the basis of legally protected characteristics.

Benefits

  • Competitive salary and meaningful early‑stage equity
  • Comprehensive health, dental, and vision coverage, and retirement benefits
  • Target base salary for this role is $140,000-$180,000 per year + meaningful equity + benefits + 401k.

Company info

  • 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.
  • We do not accept resumes from agencies or search firms.
  • Please do not forward candidate profiles through our careers page, email, LinkedIn messages, or directly to company employees.
  • Any resumes submitted will be deemed the property of the company, and no fees will be paid in the event the candidate is hired.
  • 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.
  • Guide customers through software upgrades, cluster expansion, and new feature adoption
  • Build and maintain deep technical relationships with infrastructure, SRE, and platform engineering teams at hyperscale, neocloud, and AI labs customers

Equal opportunity

  • We are an equal opportunity employer. We value a range of perspectives and experiences and make employment decisions based on merit and business needs. We do not discriminate on the basis of legally protected characteristics.
  • We are an equal opportunity employer.
  • equal opportunity employer.
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This listing is sourced directly from Delos Data's careers page and normalized into a canonical job model.