Senior Software Platform Engineer

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us.

Team Overview

PsiQuantum's Applications Software Engineering Team (ASET) builds tools for quantum algorithm developers: cloud development environments, circuit design tools, and resource estimation systems. Our most recent public release is PsiQuantum’s open access Construct platform that helps researchers write, simulate, and optimize quantum algorithms for the world's first utility-scale, fault-tolerant quantum computer.

Role Overview

We're looking for someone to take ownership of ASET’s infrastructure and pipelines from our existing platform engineer, continuing to grow our platform and making it easier for quantum researchers to do their best work.

That platform includes AWS infrastructure, Terraform configs, CI/CD workflows, and resources our researchers depend on for large-scale, computationally intensive quantum simulations. There's a real opportunity to shape how all of it evolves.

The right person for this role is comfortable making judgment calls under uncertainty; they will have a lot of latitude, and accountability to match.

 Responsibilities

• Own our AWS infrastructure end-to-end and actively shape how it evolves; building and optimizing, not just maintaining
• Reduce friction in the deployment pipeline so developers can ship features with confidence
• 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
• Develop relationships and work closely with platform engineers across PsiQuantum, including to leverage HPC/GPU resources
• Make deployments faster to roll out, easier to roll back, and less prone to failure
• Lead incident response and post-mortems when necessary

Required Qualifications

• 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

Preferred Qualifications

• Background in scientific computing, research infrastructure, ML platforms, or early-stage startups (especially research computing vendors)
• GPU/HPC experience: Supported GPU workloa