Distributed Systems Engineer
6 days ago
To succeed in this role, you should have a solid foundation in distributed systems engineering and AI workload optimization. You'll need to design and develop orchestration solutions that improve GPU workload utilization and throughput. Your expertise in Kubernetes, programming languages like C, C++, C#, Java, Go, Rust, and experience with automation for scheduling AI workloads on multi-GPU systems will be invaluable. Additionally, you should possess strong problem-solving skills, effective communication, and a sense of ownership. Oracle offers a comprehensive benefits package, flexible work-life balance, and opportunities for professional growth.
Salary Range:
$94,200 - $223,500 per annum. Eligibility for bonus and equity may apply.
Job Description:
We're looking for a highly skilled Distributed Systems Engineer to optimize Kubernetes schedulers for AI workloads. As part of our team, you'll design and develop orchestration solutions to increase GPU workload utilization and throughput, ensuring top performance for AI workloads scheduled on our platform. You'll collaborate with cross-functional teams to enhance GPU control plane and data plane, delivering exceptional customer experiences. If you have a background in distributed systems engineering, AI workload optimization, and experience with Kubernetes, we encourage you to apply.
Key Responsibilities:
- Design and develop orchestration solutions to optimize Kubernetes schedulers for AI workloads.
- Develop a high-performance AI workload orchestration system, ensuring security, reliability, and modularity.
- Mentor junior developers, driving modern software engineering practices like leveraging data/telemetry and comprehensive coverage from unit tests to active production monitoring.
Requirements & Qualifications:
- Bachelor's degree (or equivalent experience) in Computer Science, Engineering, or related field.
- 6-10+ years of experience in software development with languages such as 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.
- Strong problem-solving approach, effective communication skills, and a sense of ownership.
Benefits:
- Comprehensive benefits package including medical, dental, and vision insurance.
- Short-term disability and long-term disability coverage.
- Life insurance and AD&D.
- Flexible vacation policy and paid time off.
- Paid sick leave and holidays.
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