Infrastructure Engineer

Foundation models to simulate Earth, starting with weather.
$90,000 - $200,000
DevOps
Entry-Level Software Engineer
In-Person
1 - 10 Employees
AI

Description For Infrastructure Engineer

Silurian is an innovative company building foundation models to simulate Earth, starting with weather prediction. They're seeking an Infrastructure Engineer to join their mission of scaling these models to their full potential and pushing the limits of physical predictability.

The role involves architecting, deploying, and maintaining their high-performance computing environment that powers foundation models for Earth simulation. You'll be working with cutting-edge technologies to build resilient, scalable systems capable of handling massive computational workloads and delivering reliable predictions that national infrastructure operators can depend on.

As an Infrastructure Engineer, you'll be responsible for managing GPU clusters, designing high-availability systems, maintaining Kubernetes and Ray clusters for distributed ML inference, and handling petabyte-scale data management. The position requires expertise in infrastructure automation, cloud technologies, and security best practices.

The ideal candidate should have strong experience with Terraform, Kubernetes, and distributed computing frameworks. Knowledge of cloud providers (AWS, GCP, or Azure) and their HPC offerings is essential. The role offers the opportunity to work alongside passionate researchers and engineers dedicated to making a tangible impact on global challenges.

Silurian offers competitive compensation, meaningful equity, and the chance to contribute to technology that critical infrastructure operators will rely on to navigate an increasingly unpredictable world. The company's ultimate goal is to model all infrastructure impacted by weather, including energy grids, agriculture, logistics, and defense.

This is an excellent opportunity for someone who wants to leverage their infrastructure engineering skills to contribute to groundbreaking work in Earth system simulation. The role combines technical challenges with meaningful impact, making it ideal for engineers who want to work on solutions that will shape the future of weather prediction and infrastructure management.

Last updated 18 hours ago

Responsibilities For Infrastructure Engineer

  • Design, deploy, and maintain GPU clusters for high-performance computing
  • Build infrastructure with redundancy and failover capabilities
  • Maintain and optimize Kubernetes and Ray clusters for distributed ML inference
  • Design and maintain data storage solutions for petabyte-scale data
  • Utilize Terraform to automate infrastructure provisioning
  • Enforce security best practices throughout infrastructure
  • Implement CI/CD pipelines
  • Implement monitoring solutions for system performance

Requirements For Infrastructure Engineer

Kubernetes
Python
  • Proven experience in infrastructure engineering and automation
  • Proficiency in Terraform and infrastructure as code principles
  • Strong experience with Kubernetes for containerized workloads
  • Hands-on experience with Ray or similar distributed computing frameworks
  • Familiarity with cloud providers (AWS, GCP, or Azure) and their HPC offerings
  • Knowledge of monitoring and observability best practices
  • Familiarity with CI/CD tools and best practices
  • Solid understanding of networking concepts and security best practices
  • Excellent problem-solving abilities and strong communication skills

Benefits For Infrastructure Engineer

Equity
  • Competitive compensation
  • Meaningful equity
  • Work on impactful projects

Interested in this job?

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