Senior Software Engineer

Responsibilities

• Develop a multi-environment compute platform for workload scheduling, resource allocation, and node lifecycle.
• Collaborate with customers and internal teams to translate compute needs into platform features.
• Solve distributed systems challenges including GPU scheduling, autoscaling, and resource efficiency.
• Ensure high reliability and scalability for production simulation systems.
• Drive architecture decisions to expand simulation orchestration into a company-wide compute platform.

Requirements

• 5+ years of backend engineering experience, with a track record of owning production distributed systems.
• 4+ years of coding in Golang, Python, Java, or C++.
• 4+ years building complex backend systems on major cloud providers.
• Deep Kubernetes expertise, including pod scheduling, node lifecycle, and autoscaling under load.
• Experience building or operating workload scheduling systems (e.g., dispatch, bin-packing, quota enforcement).
• Self-starter with experience driving production system development from 0 to 1.

Nice-to-Haves

• Experience scheduling GPU workloads or managing GPU capacity at scale.
• Multi-cloud (AWS, OCI, GCP, Azure) or on-prem Kubernetes deployments.
• Experience managing multi-cluster environments using Infrastructure as Code.
• Experience building custom Kubernetes controllers or operators.
• Experience with cloud cost optimization strategies for high-scale compute workloads.

Compensation

• Base salary range: $153000 - $220000 USD annually.
• Total compensation package may also include equity, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off.