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Oracle Corporation, as part of Oracle Cloud Infrastructure, is seeking a Director of Software Development to lead a greenfield Data Processing Unit initiative spanning networking and storage. You will build and scale multiple engineering teams, establish their charters and leadership structure, and guide a new platform from initial concepts into production.
You will own engineering priorities, resource allocation, leadership development, delivery commitments, and software readiness, partnering
Oracle Cloud Infrastructure (OCI) is seeking a Director of Software Development to lead a greenfield Data Processing Unit (DPU) initiative spanning networking and storage. You will build and scale multiple engineering teams, establish their charters and leadership structure, and guide a new platform from initial concepts into production.
The initiative involves consequential decisions: which infrastructure functions belong on the host versus the DPU, how networking and storage acceleration should be sequenced, and how to preserve predictable performance and correctness through congestion, failures, and upgrades. You will ensure that architectural choices translate into measurable infrastructure benefits and a practical path to adoption.
You will own the organization's engineering priorities, resource allocation, leadership development, delivery commitments, and software readiness. Working with senior technical leaders, you will establish technical direction and resolve major tradeoffs while enabling them to lead detailed architectural development. With hardware and consuming service organizations, you will align dependencies, integration plans, and adoption milestones.
We are looking for a leader with deep networking data plane expertise and familiarity across storage architectures and data paths. Substantial storage experience would be especially valuable. You should combine strong systems judgment with a record of developing managers, building engineering organizations, and delivering production infrastructure across organizational boundaries.
Set platform strategy and investment priorities. Establish a multiyear direction and phased roadmap grounded in service requirements. Decide which capabilities justify investment, balancing performance, infrastructure efficiency, engineering effort, operational cost, and integration complexity.
Build the organization and its leadership. Define team boundaries and ownership, recruit engineering managers and senior technical talent, and establish workforce plans. Develop managers through coaching, clear expectations, and feedback. Build succession plans and leadership depth as the initiative grows.
Guide consequential technical decisions. Partner with senior engineers to establish a coherent architecture across networking, storage, software, firmware, and hardware interfaces. Ensure critical assumptions are tested through prototypes and representative benchmarks. Resolve cross-team tradeoffs without becoming a bottleneck for detailed design decisions.
Own integrated execution. Translate strategy into coordinated commitments across teams. Allocate engineering capacity, sequence dependencies, and manage risks involving scope, schedule, technical debt, and hardware readiness. Communicate decisions and progress clearly, and adjust plans as evidence changes.
Connect technical performance to infrastructure value. Establish measurable goals for throughput, tail latency, storage I/O performance, reliability, and resource efficiency. Evaluate whether offload benefits justify the additional platform complexity, including host resources recovered and the engineering and operational effort required.
Drive production readiness and adoption. Own readiness of the software your organization builds, including qualification, observability, compatibility, safe upgrades, fault isolation, and recovery. Partner with consuming services on integration and staged deployment, with clear operational ownership and feedback into the roadmap.
Lead across organizational boundaries. Secure alignment on interfaces, priorities, and commitments with networking, storage, compute, security, hardware, and operations partners. Resolve competing requirements and distinguish decisions your organization owns from those requiring joint agreement or broader leadership support.
Improve how the organization works. Establish engineering standards and management practices that support quality, accountability, and sustainable delivery. Lead responsible adoption of AI tools in development, testing, debugging, documentation, and knowledge sharing. Require appropriate human review and evaluate results through engineering quality, productivity, reduced toil, and employee well-being.