[Remote] Engineering Manager, Distributed Computing Platform (Copy)

Note: The job is a remote job and is open to candidates in USA. nTop builds parametric design software for the hardest geometry problems in aerospace, defense, and industrial turbomachinery. They are seeking an Engineering Manager to build and lead a team responsible for workload orchestration, ensuring customers can define, launch, and monitor large-scale distributed computation jobs.

Responsibilities

• Recruit, hire, and develop a small, senior engineering team. Set clear expectations, give direct feedback, and establish practices that reflect nTop's engineering culture and the demands of infrastructure work
• Own the architecture for headless execution and workload orchestration within the product direction set by the CTO and PM. Drive build vs. integrate vs. partner decisions for the systems your team owns, across workstations, on-prem HPC, and cloud
• This is a player-coach role. In year one, you'll be hands-on — writing production code, reviewing PRs, making architectural decisions alongside your team
• Lead execution on integrations with HEEDS, ModelCenter, PhysicsX Flux, and cloud-native job services. Deliver the headless pipeline: job definition, submission, monitoring, failure handling, and results collection
• Work with the Product Manager to translate product strategy into engineering plans. Provide grounded technical input on feasibility, sequencing, and risk. Push back when plans don't account for real constraints; propose alternatives when they don't
• Our customers are defense contractors, aerospace OEMs, and industrial manufacturers. You'll engage directly with their engineering and IT teams to design systems that work within real constraints — not around them

Skills

• 7+ years of software engineering experience, including 3+ years managing engineering teams; experience building and shipping distributed systems or infrastructure software
• Hands-on expertise with Docker, Kubernetes, and at least one cloud platform (AWS, GCP, or Azure); deep understanding of job scheduling and compute-intensive workloads at scale
• Experience shipping into customer-managed environments — on-prem, hybrid, or air-gapped
• Track record of building teams: recruiting, developing, and making hard performance calls
• Strong collaboration skills with PMs, designers, and field engineers; able to reason about customer value, not just technical elegance
• HPC, scientific computing, or engineering simulation background (Slurm, PBS, HEEDS, ModelCenter, OpenMDAO)
• Experience building for customers with ITAR/EAR obligations or strict IT governance
• Familiarity with consumption-based pricing transitions
• Comfort reading and reasoning about C++ codebases

Company Overview

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