Senior Engineer: Infrastructure Automation (ML Systems)

About the role:

The ML Interfaces Team plays a key role in CoreWeave’s customer journey as the team responsible for supporting and innovating the interfaces our customers use to schedule and drive their machine learning workloads.Initially supporting our Slurm and Knative interfaces, this team has a mandate to keep their fingers on the pulse of the Machine Learning community and provide commoditized solutions targeted to their needs that reduce friction and increase the efficiency and reliability of consuming CoreWeave’s world-class GPU cloud.

We are seeking a Senior Infrastructure Automation Engineer to join the ML Interfaces Team and help us build the interfaces of consumption that CoreWeave’s customers need in order to be successful. This individual will join a team of 4-6 mixed-skill engineers and have the opportunity to work on the full gamut of rewarding challenges that come with the business of building a cloud in a communicative, supportive, and high-performing environment. As a member of the ML Interfaces Team, you would have the opportunity to:

• Identify and implement scalable and fault-tolerant interfaces for consuming GPU resources that are responsive to the needs and practices of the ML community.
• Create test plans, deployment automation, dashboards, alerts, and insights into our product’s operations as well as participate in the ML Interfaces on-call rotation.
• Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are some qualities we’ve found compatible with our team. If a portion of this resonates with you, we’d love to talk. 

• You have four or more years of experience in a software engineering industry with a specialization in developing and troubleshooting distributed systems in production and at scale.
• You have a drive to learn and grow in a rapidly evolving technology space and have interest or experience in some of the current core technologies supported by the team such as Slurm, KNative, and/or Istio.
• You are comfortable with the idea of using Go as your primary programming language and are capable of navigating a Linux operating environment.
• You have some experience using Kubernetes with a conceptual understanding of its major components and ingress/service meshes.
• You can transform problems in elastic architectures, decompose them into achievable tasks, and socialize both to your teammates.
• You’re interested in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,000/year in our lowest geographic market up to $220,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.