DescriptionHere 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 for AI workloads with the latest hardware. The AI workload organization is developing solutions to enable large AI customers to schedule their Kubernetes AI workloads on OCI’s GPU cloud with the best performance, efficiency, reliability, and scalability. This is your chance to be part of the AI revolution, 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 and motivated distributed systems engineer who can architect solutions 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, 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.
Career Level - IC5
ResponsibilitiesResponsibilities
- Architect 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 respective 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 correlate with lower infrastructure stack.
- Stay updated with industry trends, emerging technologies, and best practices in software orchestration and continuous integration/continuous deployment (CI/CD).
Qualifications & Skills
- BS (or equivalent experience) in Computer Science, Engineering, or related field.
- 3 years of experience developing and maintaining large scale distributed systems that deploy Kubernetes scheduled workloads by providing GPU or Compute or other resources from the physical data center.
- 10 years of experience in software development with programming languages including, but not limited to, C, C++, C#, Java, Go, Rust.
- 5 years of experience designing and developing large-scale distributed systems, services and infrastructure.
- 3 years 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.
- Expertise in containerization technologies such as Docker and Kubernetes are a must.
- Ability to adapt to a fast-paced, dynamic environment and manage multiple tasks and priorities effectively.
Preferred Qualifications
- Experience running high-performance workloads on Kubernetes using tools such as Apache YuniKorn and/or Volcano
- Experience with automation for scheduling AI workloads on multi-GPU systems.
- Experience in managing AI cloud infrastructure.
- Experience in AI training and inference frameworks.
QualificationsDisclaimer:
Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.Range and benefit information provided in this posting are specific to the stated locations onlyUS: Hiring Range in USD from: $96,800 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.