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Staff Software Engineer

PsiQuantum

$190,000 - $245,000
Sep 2, 2025
Palo Alto, CA, US
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PsiQuantum is on a mission to build the first real, useful quantum computers, capable of delivering the world-changing applications that the technology has long promised. This requires building a system with roughly 1 million qubits that supports fault tolerant error correction within a scalable architecture, and a data center footprint. The OS/Platform team needs to build and operate a unified, high-performance observability and data-acquisition platform to support both on-premises datacenters and growing AWS footprint.

Requirements

  • 10+ years designing and operating infrastructure using Terraform (or similar) and Kubernetes.
  • Python development skills focused on automation and tooling.
  • Practical experience configuring and managing GitLab CI/CD.
  • Proven success deploying observability stacks (Grafana, Prometheus, Loki, Tempo) in production.
  • Working knowledge of core AWS services and networking fundamentals.
  • Experience with Kafka a plus.
  • Familiarity with regulated industry requirements and cross‑regional architectures.

Responsibilities

  • Architect document and implement a data acquisition and observability framework, supporting logs, metrics, and traces.
  • Develop high-throughput data pipelines for ingestion, transformation, and storage.
  • Build API services and integrations for system monitoring and device communication.
  • Optimize pipeline performance for low-latency, high-bandwidth environments.
  • Collaborate with calibration and infrastructure engineers on deployment and data engineers on schema and reporting needs.
  • Maintain monitoring, alerting, and visualization tools for system observability.
  • Ensure security, compliance, and scalability across cloud and on-prem environments.

Other

  • Gather functional requirements from external stakeholders, refining them into technical requirements considering performance, scalability, and usability.
  • Troubleshoot complex problems and incidents, working with cross-functional teams and end-users to identify root causes.
  • Excellent communication, problem‑solving, and cross‑team collaboration skills; comfortable acting as a platform generalist.
  • Bachelor’s Degree or higher in Computer Science, Engineering or other related technical field.