Here at OCI we’re building the world’s largest AI clusters and we’re the fastest at bringing them to the market. The AI Infrastructure organization at OCI is leading this effort by creating a GPU focused cloud with the latest hardware providing the best performance, efficiency, reliability, and scalability. This is your chance to be part of the AI revolution by creating systems that allow customers to scale from tens to thousands of GPUs without compromising performance. You will have the opportunity to work with cutting-edge technologies and make a significant impact on our organization's success.
We are looking for a highly skilled distributed systems engineer to scale and optimize AI infrastructure components like GPU control plane and GPU data plane that provide computing resources to customer AI workloads. You will provide technical leadership to the team and bring clarity to ambiguous problems and come up with innovative solutions. You will collaborate with cross-functional teams to enhance our AI infrastructure to deliver exceptional customer experience and peak performance.
Internal Responsibilities
Design and develop solutions to scale and optimize AI compute infrastructure components like GPU control plane and GPU data plane with the goal to optimize customer experience and customer workload performance on our AI infrastructure.
Develop “best-in-class” AI compute infrastructure 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.
Qualifications & Skills
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 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 managing cloud infrastructure with hundreds of thousands of servers.
Experience in containerization technologies such as Docker and Kubernetes.
Experience in scheduling high-performance workloads on Kubernetes or Slurm.
External Responsibilities
Design and develop solutions to scale and optimize AI compute infrastructure components like GPU control plane and GPU data plane with the goal to optimize customer experience and customer workload performance on our AI infrastructure.
Develop “best-in-class” AI compute infrastructure 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.
Qualifications & Skills
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 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 managing cloud infrastructure with hundreds of thousands of servers.
Experience in containerization technologies such as Docker and Kubernetes.
Experience in scheduling high-performance workloads on Kubernetes or Slurm.
