AI Fleet & HPC Automation Engineer

Socket.dev

Houston (TX)

On-site

USD 150,000 - 200,000

Full time

7 days ago
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Benefits offered by this job

Base + equity
Fast-growing startup
Growth/progression plan

Job summary

Nscale seeks an Infrastructure Software Engineer for Fleet & Automation. You will help ensure acceptance, performance, and scalability of AI/HPC environments by building the control plane, tooling, and automation that support Fleet, Network, and Observability functions.

Collaborate with cross-functional teams to translate operational needs into robust automation, and develop production-grade Python systems for hardware lifecycle automation leveraging AI tools to accelerate delivery.

Qualifications

  • Bachelor's degree in CS/engineering or equivalent experience.
  • 5+ years building large-scale infrastructure applications.
  • Proficient in C, C++, Java, and Python for API design and testing.
  • Strong Linux, TCP/IP networking, and configuration management knowledge.
  • Experience with distributed systems and infrastructure tooling.

Responsibilities

  • Architect and drive workflow automation for reliability and scale.
  • Own device provisioning, validation, testing, and remediation workflows.
  • Design orchestration for hardware lifecycle including GPU nodes and switches.
  • Collaborate with infra, platform, and SRE teams to deliver robust automation.
  • Set engineering standards for observability and operational excellence.
  • Build production-grade Python systems for hardware automation with AI tooling.

Skills

C
C++
Java
Python
Linux
Networking
APIs
Automation
Distributed systems

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

Ansible
Terraform
OpenStack
MAAS
Ironic
IPMI
Kubernetes
Docker
Prometheus
Grafana
OpenTelemetry

Job description

Nscale seeks an Infrastructure Software Engineer for Fleet & Automation. You will help ensure acceptance, performance, and scalability of AI/HPC environments by building the control plane, tooling, and automation that support Fleet, Network, and Observability functions.

Collaborate with cross-functional teams to translate operational needs into robust automation, and develop production-grade Python systems for hardware lifecycle automation leveraging AI tools to accelerate delivery.

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