Member of Technical Staff, DevOps / Infrastructure Engineering

About FirstPrinciples: FirstPrinciples is a non-profit organization building an autonomous AI Physicist to understand the nature of reality: the underlying structure, governing principles, and fundamental laws of our universe. We're developing an intelligent system that can explore theoretical frameworks, reason across disciplines, and generate novel insights to tackle the deepest unsolved problems in physics. By combining AI, symbolic reasoning, and autonomous research capabilities, we're developing a platform that goes beyond analyzing existing knowledge to actively contribute to physics research. Our goal is to accelerate progress on the questions that have captivated humanity for centuries. We operate as a global nonprofit organization , with a Canadian foundation, a US-based 501(c)(3). Job Description: We're seeking a Member of Technical Staff, DevOps / Infrastructure Engineering to architect, automate, and scale the infrastructure that underpins our large-scale model training and research workflows. This role spans both cloud environments (AWS) and HPC infrastructure (Buzz & Lambda HPC GPU clusters with high-speed interconnects), requiring you to design and codify the systems, pipelines, and automation that enable our researchers and engineers to move fast with confidence. This is not a "click in the console" role - you'll bring strong fundamentals in Unix/Linux, experience in CI/CD and infrastructure-as-code, and a systems mindset to build automation and establish the standards that power breakthrough scientific discoveries.. You'll be instrumental in building the reliable, scalable foundation that powers our autonomous AI Physicist while partnering closely with training engineers and researchers. Key Responsibilities: Infrastructure Architecture & Automation: Design and run large-scale pre-training experiments for both dense and MoE architectures, from experiment planning through multi-week production runs. Architect hybrid infrastructure solutions that span cloud and on-premises HPC environments seamlessly. Automate configuration management and drift detection using tools like Ansible, Salt, or Chef. Build systems that reduce operational toil and establish guardrails that let researchers focus on experiments, not operations. CI/CD & Developer Experience: Build and own comprehensive CI/CD pipelines for training workflows, evaluation jobs, internal tools, and services with rollback capabilities, observability, and safety built in. Develop tooling for developer workflows including reproducible builds, ephemeral environments, secrets management, and cluster resource allocation. Create self-service infrastructure patterns that empower researchers and engineers. Design infrastructure that accelerates experimentation while maintaining reliability and reproducibility. HPC & GPU Cluster Management: Manage and extend HPC environments including GPU clusters, InfiniBand networks, job schedulers (Slurm/Kubernetes hybrid), and container orchestration. Operate containerized and scheduled workloads efficiently across Docker, Kubernetes, and Slurm environments. Optimize cluster scheduling and resource allocation for high-performance GPU workloads. Debug GPU driver quirks, Slurm job issues, and InfiniBand networking hiccups as they arise. Monitoring, Observability & Reliability:   Implement comprehensive monitoring, logging, and alerting across all infrastructure layers using Prometheus, Grafana, ELK/EFK, and OpenTelemetry. Establish SLOs/SLIs for infrastructure reliability and create observability dashboards for long-horizon training runs. Build observability stacks that provide visibility into both system health and job-level performance. Proactively detect and resolve infrastructure issues before they impact research workflows. Security & Compliance:   Implement and manage secrets management and identity security solutions (Vault, KMS, IAM). Champion security best practices, IAM policies, and compliance standards across hybrid infrastructure. Design infrastructure with least privilege principles and strong security hygiene from the start. Maintain zero-trust security posture and comprehensive auditing capabilities. Collaboration:   Partner closely with training engineers and researchers to translate research needs into robust infrastructure solutions. Document best practices, create runbooks, and evangelize DevOps culture across the organization. Mentor teammates on infrastructure patterns, automation techniques, and operational excellence. Enable efficient pre-training runs and safe deployment of new infrastructure patterns through collaboration. Qualifications: Educational Background : Bachelor's or Master's degree in Computer Science, Engineering, or related field. Experience : 3-10+ years in DevOps, Infrastructure, or SRE roles with proven hands-on systems engineering experience (not just certification-based - if you're a strong intermediat