обновлено 1 день назад
Engineering Manager (Distributed Computing Platform)
265 000 - 295 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Engineering Manager (Distributed Computing Platform) (Docker/Kubernetes/HPC): Building and leading the team responsible for workload orchestration and headless execution of parameterized nTop programs across workstations, on-prem HPC, and cloud infrastructure with an accent on distributed systems, job scheduling, and customer-managed environments. Focus on designing production pipelines for job submission, monitoring, failure handling, and results collection while building integrations with simulation workflow platforms and cloud-native services.
Location: Germany, United Kingdom, or the United States. Remote and hybrid options are listed; the hybrid policy requires 3 days in the office per week. US roles include New York, New Jersey, Massachusetts, and other approved US states.
Base pay: $265,000–$295,000 per year.
Company
builds parametric design software for complex geometry problems in aerospace, defense, and industrial turbomachinery, including large-scale computational and AI-driven optimization workflows.
What you will do
- Build, hire, and lead a small senior engineering team responsible for workload orchestration.
- Own the architecture for headless execution across workstations, on-premises HPC, and cloud environments.
- Design and deliver job definition, submission, monitoring, failure handling, and results collection pipelines.
- Lead integrations with HEEDS, ModelCenter, PhysicsX Flux, and cloud-native job services.
- Write production code, review pull requests, and make architectural decisions as a player-coach.
- Partner with Product, the CTO, and customer engineering and IT teams to deliver systems within real infrastructure and governance constraints.
Requirements
- 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, including on-premises, hybrid, or air-gapped deployments.
- Demonstrated ability to recruit, develop, and manage engineering teams and collaborate with Product and field engineering.
Nice to have
- Background in HPC, scientific computing, or engineering simulation, including Slurm, PBS, HEEDS, ModelCenter, or OpenMDAO.
- Experience supporting customers with ITAR/EAR obligations or strict IT governance.
- Familiarity with consumption-based pricing transitions.
- Comfort reading and reasoning about C++ codebases.
Culture & Benefits
- Small, senior team model with high individual leverage.
- Player-coach role with hands-on technical work, especially during the first year.
- Opportunity to build a product area and engineering team from scratch.
- Work across cloud, HPC, on-premises, and heterogeneous customer infrastructure.
- Equal opportunity employer committed to a diverse and inclusive workplace.
Hiring process
- Applications include resume, location, US state of residence, and work visa sponsorship information.
- The process includes customer-facing and technical evaluation relevant to the role.
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