Systems Engineer

Infrastructure Engineer (SRE)Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We're changing that.At our Detroit headquarters, we combine the industrial DNA of America's manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don't just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration.Backed by top-tier investors, we're restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy.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.Manage and improve CI/CD pipelines (GitHub Actions, Terraform, HashiCorp stack)Orchestrate compute workloads across cloud and bare-metal GPU clustersDesign systems for secure, fault-tolerant deployment and observabilityBuild internal tooling to accelerate developer workflows and operationsPartner with engineers on simulation, ML, and backend teams to scale infrastructureMonitor and tune system performance under high computational loadsMinimum Qualifications:5+ years in DevOps, infrastructure, or site reliability engineeringProficiency with container orchestration (Nomad, Kubernetes), IaaC, and LinuxStrong scripting and programming skills (Python, Bash, Go)Experience with hybrid (cloud + on-prem) infrastructureFamiliarity with distributed systems, caching layers, and observability toolsBonus Points:Background supporting ML, simulation, or HPC workloadsExperience managing large GPU fleets or multi-node compute tasksSecurity or compliance experience (ITAR, SOC2, CMMC)Track record of building tooling for high-autonomy engineering teamsFast iteration: We deploy code daily and validate it in the factory every weekFactory-first mindset: Engineers spend time on the shop floor to understand the real-world impact of their workLow ceremony, high ownership: We value well-written design docs, tested code, and real results — not meetingsCollaborative culture: Geometry, AI, and robotics teams are tightly integrated and co-develop the product togetherCompetitive salary and generous equity packageFull medical, dental, and vision coverage for employees and dependents401(k)PTO with a 15-day minimumQuarterly team travel to DetroitVisa support for TN, E?3, and O?1 candidatesHardware stipend and on-site prototype lab access