Engineering Manager, Distributed Computing Platform

• 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.

Build the team.

Define the technical approach.

Write code, especially early on.

Ship integrations.

Partner with Product.

Deliver for customers in hard environments.

90 days:

12 months:

Required

• 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

Preferred

• 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

Compensation