Atomic Industries
1 - 10 employees
Founded 2019
🤖 Artificial Intelligence
💰 $17M Seed Round on 2023-12
Artificial Intelligence • Manufacturing • Robotics
Atomic Industries is an innovative company at the forefront of AI-powered manufacturing. It combines advanced technology with manufacturing processes to enhance the speed and efficiency of production. By leveraging robotics and computer intelligence, Atomic Industries aims to transform traditional manufacturing methods and improve the overall quality and timeline of creating goods.
Infrastructure Engineer
Job not on LinkedIn
🕒 August 9, 2025
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Atomic Industries
1 - 10 employees
Founded 2019
🤖 Artificial Intelligence
💰 $17M Seed Round on 2023-12
Artificial Intelligence • Manufacturing • Robotics
Atomic Industries is an innovative company at the forefront of AI-powered manufacturing. It combines advanced technology with manufacturing processes to enhance the speed and efficiency of production. By leveraging robotics and computer intelligence, Atomic Industries aims to transform traditional manufacturing methods and improve the overall quality and timeline of creating goods.
📋 Description
• Atomic Industries is building the most advanced manufacturing company in the world. • You’ll own the systems that power high-performance simulation, geometry processing, and factory automation. • 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.
🎯 Requirements
• 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 • Background supporting ML, simulation, or HPC workloads • Experience managing large GPU fleets or multi-node compute tasks • Security or compliance experience (ITAR, SOC2, CMMC) • Track record of building tooling for high-autonomy engineering teams
🏖️ Benefits
• Competitive salary and generous equity package • Full medical, dental, and vision coverage for employees and dependents • 401(k) • PTO with a 15-day minimum • Quarterly team travel to Detroit • Visa support for TN, E‑3, and O‑1 candidates • Hardware stipend and on-site prototype lab access
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