Hybrid Senior Software Platform Engineer

at PsiQuantum

• Job title: Senior Software Platform Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: $165,000 - $185,000 per year
• Degree requirement: No Education Requirement
• Tech skills: AWS, Python, Terraform
• Location requirements: Hybrid, Chicago, United States

About the role

• Platform Engineer improving AWS and GPU clusters for quantum simulations, collaborating with quantum researchers and shaping the platform's evolution.

Responsibilities

• Own our AWS infrastructure end-to-end and actively shape how it evolves; building, not just maintaining.
• Reduce friction in the deployment pipeline so developers can ship without infrastructure blockers.
• Harden systems with intention: lock down IAM roles, container images, and authentication flows in ways that reflect a clear understanding of where the real risks are.
• Implement monitoring and alerting that catches production issues before users notice them.
• Make deployments faster to roll out, easier to roll back, and less prone to failure.
• Lead incident response and post-mortems when necessary.
• Make GPU clusters and other infrastructure invisible to the researchers running it.
• Own CUDA compatibility and driver versions across heterogeneous GPU clusters.
• Build standardized SLURM job submission workflows that researchers can use without help.
• Package and containerize Python simulation code for reproducible execution.
• Monitor job health across utilization, cost, and runtime efficiency.

Requirements

• Experience: 5+ years in Platform Engineering, DevOps, or SRE roles.
• Production AWS experience: Built and maintained systems on ECS/EKS, managed multi-account networking (VPCs, security groups), and dealt with real-world infrastructure complexity.
• Infrastructure as Code: You've written and maintained Terraform (or Pulumi/CDK) in production, including applying ongoing changes as requirements evolved.
• CI/CD: Improved build pipelines in production (reduced build times, increased reliability, made deployments easier to debug), including experience with GitLab CI, GitHub Actions, or equivalent.
• GPU/HPC experience: Supported GPU workloads in production environments, including code optimization, CUDA debugging, and job scheduler setup.
• Background in scientific computing, research infrastructure, ML platforms, or early-stage startups (especially research computing vendors).
• Security & compliance experience: You've implemented auth systems (Auth0/Okta), managed encryption (KMS), or worked on FedRAMP/compliance-driven infrastructure. FedRAMP experience is a strong plus.
• Exposure to quantum computing SDKs (Qiskit, Cirq, PennyLane) or hybrid classical-quantum workflows is a plus, but not required; genuine interest in quantum computing matters more than prior exposure.