Fleet Automation Engineer – HPC Infra

NMC2

Dallas, Northern (TX, KY)

Hybrid

USD 120,000 - 150,000

Full time

14 days+

Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Job summary

NorthMark Compute & Cloud (NMC²) is seeking a Software Engineer to join the Fleet Automation team within the HPC & Infrastructure organization, based in Dallas, TX. You will design and build automation platforms and APIs to provision, configure, and manage large-scale GPU/CPU compute nodes, writing production-grade Go, C#, and TypeScript services that touch hardware and orchestration layers.

You will collaborate with Infrastructure, Network, and Research teams to translate pain points into

Qualifications

Bachelor’s Degree in Computer Science, Software Engineering, or equivalent practical experience.
5+ years of software engineering experience building production backend services or infrastructure automation tooling.
Proficiency in Go, C#, or TypeScript.
Experience with relational and NoSQL databases to support stateful automation workflows.
Strong Linux knowledge (Ubuntu/RHEL) and debugging.
Experience with CI/CD and observability stacks (Prometheus, Grafana, ELK) in production.
Familiarity with GPU compute infrastructure and NVIDIA tooling (DCGM, nvidia-smi) is a plus.
Exposure to event-driven architectures (e.g., Kafka) is a plus.
Strong communication and collaboration across Infrastructure, Operations, and Research teams.

Responsibilities

Design, build, and maintain fleet automation services and internal platforms for provisioning, configuration, and lifecycle management of large-scale GPU and CPU compute nodes.
Develop APIs and service integrations that enable Infrastructure and Operations teams to deploy, image, validate, and decommission hardware with minimal manual intervention.
Build and maintain backend services in Go, C#, and TypeScript with a focus on reliability, testability, and long-term maintainability.
Design and evolve data models and persistent state for automation workflows, across relational and NoSQL databases as appropriate.
Build and maintain CI/CD pipelines that gate configuration changes and run automated hardware validation tests.
Instrument systems for observability — metrics, alerts, and dashboards for real-time fleet health.
Participate in on-call rotations; own incident response and reliability improvements across the fleet.
Identify systemic gaps in fleet reliability and champion engineering solutions to reduce toil at scale.