About FirstPrinciples:FirstPrinciples is a non-profit organization building an autonomous AI Physicist designed to advance humanity's understanding of the fundamental laws of nature. Our goal for the AI Physicist is to achieve a breakthrough that unifies quantum field theory general relativity and to explain the deepest unresolved phenomena in our universe by 2035. To do this, we're pioneering a new approach to scientific discovery by creating an intelligent system that can explore theoretical frameworks, reason across disciplines, and generate novel insights. We're a non-profit that operates like a tech start-up by moving quickly and continuously iterating to accelerate scientific progress. 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.
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. Our ideal candidate brings strong fundamentals in Unix/Linux, deep experience in CI/CD and infrastructure-as-code, and a systems mindset to define standards, build automation, and grow our infrastructure practice from the ground up. You'll be instrumental in building the reliable, scalable foundation that powers our autonomous AI Physicist while partnering closely with training engineers and researchers to accelerate breakthrough scientific discoveries.
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: 6-10+ years in DevOps, Infrastructure, or SRE roles with proven hands-on systems engineering experience (not just certification-based).
- Deep Unix/Linux administration expertise including kernel tuning, networking, storage, and process control.
- Advanced Infrastructure-as-Code experience with Terraform, Pulumi, or CloudFormation.
- Expertise building CI/CD systems and reproducible build pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
- Hands-on experience with AWS (EC2, S3, IAM, VPC, etc.) and cloud infrastructure management.
- Cluster orchestration and job scheduling experience with Kubernetes and Slurm.
- Strong monitoring and observability stack experience (Prometheus, Grafana, ELK/EFK, OpenTelemetry).
- Demonstrated success scaling infrastructure for high-performance or GPU workloads.
- Track record of managing GPU-accelerated clusters or HPC infrastructure.
- Experience in automating workflows that reduced toil and scaling deployments safely.
- Skills: Strong programming skills in at least one compiled/systems language (Python, Go, or Rust) plus Bash fluency.
- Collaboration Communication: Ability to work cross-functionally. Strong communicator who can simplify complex topics for diverse audiences.
- Mindset: Entrepreneurial mission-driven, comfortable in a fast-growing, startup-style environment, and motivated by the ambition of tackling one of the greatest scientific challenges in history.
- Demonstrated passion for physics and for making scientific knowledge accessible and impactful.
Bonus Skills:
- Prior work with HPC vendors or AI compute providers (Buzz HPC, NVIDIA DGX, Lambda, CoreWeave).
- Experience designing self-service infrastructure or internal developer platforms.
- Deep familiarity with GPU cluster management, scheduling, and high-throughput networking (InfiniBand).
- Security and compliance expertise including zero-trust architectures, secrets management, and auditing frameworks.
- Cost management and optimization experience for large-scale compute infrastructure.
- Build system fluency and comfort with modern build tools (CMake, Bazel, Meson, Buck, Ninja).
- Experience supporting AI/ML research environments and training pipeline infrastructure.
- "Automation first" mindset - you reduce toil by codifying repeatable operations.
- Deep understanding of DevOps philosophy, not just the tools - you live and breathe the culture.
- HPC comfort - you can debug Slurm jobs, GPU driver issues, or InfiniBand problems without hesitation.
- Cloud + HPC pragmatism - you know when to leverage AWS primitives versus optimizing HPC schedulers.
- Track record of mentoring and elevating teams, building collaboratively rather than in isolation.
- Passion for building state-of-the-art platforms with reproducibility and robust CI/CD at their core.
Application Process:
- Interested candidates are invited to submit their resume, a cover letter detailing their qualifications and vision for the role, and references. Please include "Member of Technical Staff, DevOps / Infrastructure Engineering" in the cover letter.
Join us at FirstPrinciples and be a part of a transformative journey where science drives progress and unlocks the potential of humanity.
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