We are looking for a highly skilled distributed systems engineer to optimize Kubernetes schedulers for AI workloads to increase GPU workload utilization and throughput. In this role, you will ensure top performance for AI workloads scheduled on our platform. You will provide technical leadership to the team and bring clarity to ambiguous problems and come up with innovative solutions that make it easy for our customers to deploy AI workloads on our GPU infrastructure. You will collaborate with cross-functional teams to enhance GPU control plane and GPU data plane to deliver exceptional customer experience.

• BS (or equivalent experience) in Computer Science, Engineering, or related field.
• 6 years of experience in software development with programming languages including, but not limited to, C, C++, C#, Java, Go, Rust.
• 3 years of experience designing and developing large-scale infrastructure, distributed systems, and services.
• 1 year of experience with Kubernetes.
• 1 year of experience providing technical leadership and clarity to cross-functional teams and projects while collaborating across stake holders.
• Systematic problem-solving approach, strong communication skills, a sense of ownership, and drive.
• Ability to adapt to a fast-paced, dynamic environment and manage multiple tasks and priorities effectively.

Preferred Qualifications

• Experience in scheduling high-performance workloads on Kubernetes using tools like Apache YuniKorn, Volcano, Slurm.

Experience in managing cloud infrastructure with hundreds of thousands of servers

Career Level - IC4

• Design and develop orchestration solutions to optimize Kubernetes schedulers for AI workloads to increase GPU workload utilization and throughput, and to ensure top performance for AI workloads scheduled on our platform.
• Develop “best-in-class” AI workload orchestration system for our customers by ensuring that the services and the components are well-defined and modularized, secure, reliable, diagnosable, actively monitored, compliant and reusable.
• Collaborate with cross-functional teams, including development, operations, and product management, to understand their requirements and design innovative orchestration solutions.
• Mentor junior developers and drive modern software engineering practices like leveraging data/telemetry to make decisions, well-defined interfaces across components, design reviews, coding standards, code reviews, and comprehensive coverage from unit test, integration test and active production monitoring.
• Develop benchmark metrics and automation to drive and track performance and reliability across customer workload and lower infrastructure stack. ­

Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. Leading contributor individually and as a team member, providing direction and mentoring to others. BS or MS degree or equivalent experience relevant to functional area. 7 years of software engineering or related experience.

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