nTop builds parametric design software for the hardest geometry problems in aerospace, defense, and industrial turbomachinery. Our platform lets engineers define a design as a parametric program — not one aircraft or turbine, but every variant a program might need. The next step is scale: thousands of design variants evaluated in parallel, across cloud, HPC, and on-prem infrastructure, feeding directly into AI-driven optimization workflows. We're building the product that makes that possible. We're looking for an Engineering Manager to build and lead the team responsible for workload orchestration — the infrastructure that lets nTop customers define, launch, monitor, and collect results from large-scale distributed computation jobs. This team will be small by design: senior engineers, AI-native workflows, high individual leverage. We'll grow when the work earns it. One founding engineer is in place; you will hire and lead the rest while contributing to systems spanning containerized headless execution, job scheduling, integration with third-party platforms (HEEDS, ModelCenter, PhysicsX Flux — MDO and simulation workflow platforms our customers already rely on), and deployment across environments from GPU workstations to cloud-scale Kubernetes clusters. You'll partner with a dedicated Product Manager who owns strategy and roadmap for this area. Your job is to own technical execution: system design, team operations, and delivery into environments shaped by IT governance, export control, and heterogeneous infrastructure. The north-star metric: headless nTop notebook executions. A notebook is a parameterized nTop program; headless means executing it without a user at the keyboard — more design variations explored, in less time, without a human in the loop.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed