Infrastructure Engineer (SRE)

Department: Engineering – Infrastructure

About Atomic Industries

Atomic Industries is building the most advanced manufacturing company in the world by combining the industrial DNA of Detroit with the speed, intelligence, and execution of Silicon Valley. Most physical goods, from cars and medical devices to packaging and aerospace systems, begin their life in a mold or are shaped by a manufacturing tool. These tools take weeks or months to produce and rely on slow, manual, and highly specialized workflows that haven’t fundamentally changed in decades. Atomic is the first company to truly accelerate that process. By applying artificial intelligence to the core challenges of geometry, process planning, and fabrication, we are dramatically reducing the time it takes to go from design to production. What once took months now takes days, and soon, minutes.

We don’t just design software. We operate a real factory in Detroit where our platform produces tooling that cuts production parts every week. Our vertically integrated model gives us tight feedback loops, high iteration speed, and the ability to continuously improve based on real-world results. Backed by top-tier investors, Atomic is restoring speed, flexibility, and capability to the heart of the American industrial base and rebuilding the infrastructure of the physical economy in the process.

About the Role

As an Infrastructure Engineer at Atomic, you’ll own the systems that power high-performance simulation, geometry processing, and factory automation. You’ll be responsible for building and maintaining the hybrid infrastructure that spans cloud, on-prem, and GPU compute environments.

This role is ideal for engineers who thrive at the intersection of reliability, performance, and engineering velocity.

What You’ll Do

• 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

What We’re Looking For

Minimum 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

Bonus Points

• 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

How We Work

• Fast iteration: We deploy code daily and validate it in the factory every week

• Factory-first mindset: Engineers spend time on the shop floor to understand the real-world impact of their work

• Low ceremony, high ownership: We value well-written design docs, tested code, and real results — not meetings

• Collaborative culture: Geometry, AI, and robotics teams are tightly integrated and co-develop the product together

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