Software Engineer, AI Infrastructure
$80,000–$120,000 year
On-site · San Francisco, California, United States
Job Summary
As a Software Engineer at Eventual, you will design and build core products and architecture, shipping features that are immediately used by customers. You'll be involved in building highly reliable, resilient products and features, working closely with cross-functional teams to understand requirements and deliver thoughtful solutions. You'll write high-quality, maintainable code and architect scalable applications while managing Kubernetes clusters optimized for GPU workloads. Ideal candidates have 3+ years of experience with complex infrastructure projects, particularly with GPUs, and familiarity with cloud technologies.
Required Qualifications
- 3+ years of experience working with complex infrastructure projects, ideally involving GPUs.
- Ability to design and build highly reliable and resilient products and features.
- Experience writing high-quality, extensible, and maintainable code.
- Experience designing and building scalable applications and components.
- Experience architecting and operating Kubernetes clusters optimized for GPU workloads.
Desired Qualifications
- Experience supporting ML/AI workloads.
- Experience optimising GPU utilisation through scheduler extensions such as kube-scheduler plugins, Slurm and Volcano.
- Familiarity and experience with cloud technologies (e.g. AWS S3)
- Experience taking a product from ground zero to production.
- A unique startup growth mindset of responsibly taking on tech debt for velocity and building for future extensibility.
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