Senior Software Engineer, Cluster Orchestration

Join to apply for the Senior Engineer, ML Infrastructure role at Core Weave

Join to apply for the Senior Engineer, ML Infrastructure role at Core Weave

Core Weave is the AI Hyperscaler, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, Core Weave has operated a growing footprint of data centers covering every region of the US and across Europe. Core Weave was ranked as one of the TIME
100 most influential companies of 2024.

As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you’re someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, Core Weave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry.

Core Weave powers the creation and delivery of the intelligence that drives innovation.

About

The Role

The ML Infrastructure Team plays a key role in Core Weave’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 Inference 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 Core Weave’s world-class GPU cloud.

We Are Seeking a Senior Engineer To Join The ML Infrastructure Team And Help Us Build The Interfaces Of Consumption That Core Weave’s Customers Need In Order To Be Successful. This Individual Will Join a Team Of 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 Infrastructure 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 Infrastructure 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.

• You have 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.
• 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 experience using Kubernetes with an applicable understanding of its major components and ingress/service meshes.
• You have thorough knowledge of cloud-native development including experience with container technologies, microservice design and architectural patterns.
• You have familiarity with complex event processing and event-driven architecture.
• 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…