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CoreWeave is seeking a Senior Engineer to join the ML Infrastructure Team to build scalable and fault-tolerant interfaces for consuming GPU resources that are responsive to the needs and practices of the ML community.

Requirements

• Six or more years of experience in a software engineering industry with a specialization in developing and troubleshooting distributed systems in production and at scale.
• Experience with Slurm, KNative, and/or Istio.
• Comfortable with the idea of using Go as your primary programming language and capable of navigating a Linux operating environment.
• Experience using Kubernetes with an applicable understanding of its major components and ingress/service meshes.
• Thorough knowledge of cloud-native development including experience with container technologies, microservice design and architectural patterns.
• Familiarity with complex event processing and event-driven architecture.
• Experience with reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design.

Responsibilities

• 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 Infrastructure on-call rotation.
• Transform problems in elastic architectures, decompose them into achievable tasks, and socialize both to your teammates.

Other

• Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself.
• Drive to learn and grow in a rapidly evolving technology space.
• Interest in being part of a team of diverse perspectives and backgrounds that believe in tackling challenges, growing hand in hand, and winning together.
• Bachelor's degree or higher in Computer Science or related field (not explicitly mentioned but implied).
• Remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets.
• New hires will be invited to attend onboarding at one of our hubs within their first month.
• Teams also gather quarterly to support collaboration.