Infra Engineer (SRE) for AI & GPU Compute

Blackwing; Detroit, Northern (MI, KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Equity package

Medical/dental/vision coverage

401(k)

Paid time off

Team travel to Detroit

Visa support for TN,E-3,O-1

Hardware stipend

Job summary

Atomic Industries, headquartered in Detroit, is seeking an Infrastructure Engineer (SRE) to own and optimize the hybrid infrastructure spanning cloud, on-prem, and GPU compute environments. This role targets reliability, performance, and fast engineering velocity across simulation and ML workloads.

The candidate will manage CI/CD pipelines, container orchestration, and observability while collaborating with simulation and backend teams to scale infrastructure for production-grade tooling in a

Qualifications

• 5+ years in DevOps, infrastructure, or site reliability engineering.
• Proficiency with container orchestration (Nomad, Kubernetes), IaaC, and Linux.
• Strong scripting and programming skills (Python, Bash, Go).
• Experience with hybrid (cloud + on-prem) infrastructure.
• Familiarity with distributed systems, caching layers, and observability tools.

Responsibilities

• Manage and improve CI/CD pipelines (GitHub Actions, Terraform, HashiCorp stack).
• Orchestrate compute workloads across cloud and bare-metal GPU clusters.
• Design systems for secure, fault-tolerant deployment and observability.
• Build internal tooling to accelerate developer workflows and operations.
• Partner with engineers on simulation, ML, and backend teams to scale infrastructure.
• Monitor and tune system performance under high computational loads.

Skills

DevOps experience

Container orchestration

IaC

Linux

Scripting (Python, Bash, Go)

Hybrid cloud/on-prem

Observability tools

Tools

Nomad

Kubernetes

GitHub Actions

Terraform

HashiCorp stack

Job description

Atomic Industries, headquartered in Detroit, is seeking an Infrastructure Engineer (SRE) to own and optimize the hybrid infrastructure spanning cloud, on-prem, and GPU compute environments. This role targets reliability, performance, and fast engineering velocity across simulation and ML workloads.

The candidate will manage CI/CD pipelines, container orchestration, and observability while collaborating with simulation and backend teams to scale infrastructure for production-grade tooling in a