Architect Performance / GPU
Job Description
Team Overview
The Oracle Cloud Infrastructure (OCI) team is revolutionizing end-to-end data center
planning, design, construction and operations by developing innovative software
solutions. We aim to create a seamless bridge between digital and physical
infrastructure, ensuring efficient management and automation. By standardizing data
center building and implementing advanced analytics, we streamline data center
design and construction, enabling rapid scalability. With a focus on automation and AI
integration, OCI is poised to lead the industry in cost-effective, efficient data center
management, making it accessible and adaptable for future technological
advancements.
Role Overview
We are seeking a technically exceptional Performance Architect to lead, mentor, and
enforce high standards in system performance engineering. As a hands-on technical
leader, you will set methodology, drive diagnosis and solutions for performance
bottlenecks at every layer (kernel, network, storage, runtime), and evangelize best
practices across a highly visible, cross-organizational scope.
Key Responsibilities
• Deep Linux internals: scheduling, run queues & preemption, context switches,
virtual memory (THP/hugetlbfs, page cache, reclaim/compaction), MMU/TLB
shootdowns, softirqs/IRQs.
• Networking expertise: TCP/UDP/QUIC, congestion control (e.g., CUBIC/BBR),
socket options, NIC offloads (TSO/GSO/GRO/LRO), RSS/RPS/RFS, NAPI/busypoll, routing/VLAN/VXLAN basics.
• Coding & code reading: strong C/C , low-level concurrency, lock/contention
analysis, cache-aware data structures, microbenchmarks; quickly read
unfamiliar C and propose measurable improvements.
• Linux tuning at scale: sysctls, cgroups v2, CPU/IRQ affinity, NUMA placement,
huge-page policies, qdisc selection (fq/fq_codel), net/IO queue tuning.
• Observability & instrumentation: low-overhead tracing; metrics/exemplars;
flame-graph culture; Prometheus/OpenTelemetry/Grafana; actionable SLOaligned alerts.
• Databases: query plans, indexing, buffer/cache behavior, lock/wait analysis,
read/write amplification; OS/IO/network interactions.
• Reliability via performance controls: admission control, backpressure, circuitbreaking, rate limiting; SLO/SLA thinking and tail-tolerance.
• Impact communication: crisp RCAs with before/after metrics, clear tuning
guides/playbooks; ability to influence and coach across teams.
Basic Requirements
• 15 years of professional experience in software development, with strong
expertise in system design, distributed systems, and automation platforms.
• 10 years of experience specifically building and delivering software solutions
for data center environments, including DCMI, BMS, and data center
automation.
• Proven track record of architecting large-scale, mission-critical systems with
high availability and performance.
• Strong knowledge of modern programming languages (e.g., Java, C , Go,
Python) and cloud-native technologies (containers, Kubernetes, service mesh).
• Hands-on experience with APIs, integration frameworks, and microservices
architectures.
• Deep understanding of monitoring, telemetry, and control systems used in data
centers.
• Strong communication skills with the ability to influence stakeholders and
present to executives.
• Experience working in global, cross-functional organizations with complex data
center environments.
Preferred Requirements
• Knowledge of infrastructure-as-code, DevOps pipelines, and automated
deployment strategies.
• Familiarity with large-scale cloud provider environments.
• Advanced degree in Computer Science, Electrical Engineering, or related field
Responsibilities
Key Responsibilities
• Deep Linux internals: scheduling, run queues & preemption, context switches,
virtual memory (THP/hugetlbfs, page cache, reclaim/compaction), MMU/TLB
shootdowns, softirqs/IRQs.
• Networking expertise: TCP/UDP/QUIC, congestion control (e.g., CUBIC/BBR),
socket options, NIC offloads (TSO/GSO/GRO/LRO), RSS/RPS/RFS, NAPI/busypoll, routing/VLAN/VXLAN basics.
• Coding & code reading: strong C/C , low-level concurrency, lock/contention
analysis, cache-aware data structures, microbenchmarks; quickly read
unfamiliar C and propose measurable improvements.
• Linux tuning at scale: sysctls, cgroups v2, CPU/IRQ affinity, NUMA placement,
huge-page policies, qdisc selection (fq/fq_codel), net/IO queue tuning.
• Observability & instrumentation: low-overhead tracing; metrics/exemplars;
flame-graph culture; Prometheus/OpenTelemetry/Grafana; actionable SLOaligned alerts.
• Databases: query plans, indexing, buffer/cache behavior, lock/wait analysis,
read/write amplification; OS/IO/network interactions.
• Reliability via performance controls: admission control, backpressure, circuitbreaking, rate limiting; SLO/SLA thinking and tail-tolerance.
• Impact communication: crisp RCAs with before/after metrics, clear tuning
guides/playbooks; ability to influence and coach across teams.
Acknowledged expert/professional within company and/or industry nationally and internationally. Provides leadership in the development and strategic direction of new products, processes, techniques. Acts as primary consultant on large projects that effect the organization’s long term objectives / strategy. BS or MS degree or equivalent experience relevant to functional area. 10 more years of software engineering or related experience.
About Us
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