Eventual

Software Engineer, AI Infrastructure

Eventual

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloudKubernetes

About the role

  • Design and build highly reliable and resilient products and features
  • Work closely with cross-functional product and customer-facing teams to understand requirements and ship thoughtful solutions
  • Write high-quality, extensible, and maintainable code
  • Design and build scalable applications and components
  • Architect and operate Kubernetes clusters optimised for GPU workloads
  • Build multi-tenant and dedicated environments for GPU workloads
  • Ship features that will be immediately used by customers and autonomously scope and solve difficult technical challenges
  • Collaborate with a tight-knit team that values open communication and cross-functional collaboration

Requirements

  • 3+ years of experience working with complex infrastructure projects, ideally involving GPUs
  • Experience supporting ML/AI workloads
  • Experience optimising GPU utilisation and job placement through scheduler extensions such as kube-scheduler plugins, Slurm, and Volcano
  • Familiarity and experience with cloud technologies (e.g. AWS S3)
  • Experienced with taking a product from ground zero to production
  • Ability to architect and operate Kubernetes clusters optimized for GPU workloads and build multi-tenant and dedicated GPU environments
  • A unique startup growth mindset of responsibly taking on tech debt for velocity and building for future extensibility
  • Works well in small, focused teams with fast iterations and lots of autonomy
  • Willingness to work in-person in San Francisco (SF Mission district) 4 days/week
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