Senior AI/ML Infra Engineer — GPU & Cloud Orchestration

Atomic Industries; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Equity package

Full medical/dental/vision

401(k)

PTO 15+ days

Visa support

Hardware stipend

on-site prototype lab access

Job summary

Atomic Industries is seeking an experienced DevOps/SRE professional to manage and enhance CI/CD pipelines and orchestrate compute workloads across cloud and on-prem GPU clusters. You will design fault-tolerant, observable deployments and build internal tools to speed up engineering workflows.

Collaborating with ML, simulation, and backend teams, you will ensure performance under heavy computational loads while maintaining security and reliability in a hybrid infrastructure environment.

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

Job description

Atomic Industries is seeking an experienced DevOps/SRE professional to manage and enhance CI/CD pipelines and orchestrate compute workloads across cloud and on-prem GPU clusters. You will design fault-tolerant, observable deployments and build internal tools to speed up engineering workflows.

Collaborating with ML, simulation, and backend teams, you will ensure performance under heavy computational loads while maintaining security and reliability in a hybrid infrastructure environment.