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The application window has been extended and is expected to close on: 9/30/2025
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Your ImpactAs an SAP BRIM Technical Leader within Splunk Finance Systems, you will define the configuration and integration blueprint for our enterprise-scale BRIM platform (SOM, CC, CI) on S/4HANA. You will deliver Splunk finance releases, enable new SaaS and consumption offers, and influence the broader Cisco subscription-management roadmap—without a heavy reliance on custom code.

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Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Your ImpactYou will be part of a world class Component Quality and Technology Group and contribute to developing, road mapping and implementing advanced thermal solutions for Cisco’s products. You will Investigate and develop innovative thermal cooling solutions for hardware systems in large scale. You will lead in the development of test plans and qualification requirements to ensure mechanical and manufacturing robustness of thermal cooling solutions (pumps, heat pipes, vapor chambers, heat sinks, cold plates etc.). You will Engage with external vendors including ODM and component vendors on design, test and production. You will Establish parameters for thermal design/testing, correlation of design/test results to model predictions. You will Collaborate with Cisco hardware design teams to develop roadmaps and risk analyses for future thermal solutions for ASIC/IC, Optics, Power and other components and systems. You will partner with several Cisco hardware design teams to improve specifications and qualification procedures.
Minimum Qualifications:
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The application deadline is being extended, expected to close August 29th, 2025.
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Your Impact
You will engage and drive the teams working on Design for Reliability. You will build and innovate in data analytics to enable faster quality through AI/ML data models. You will plan and develop test teams to drive FA and Qualification activity.
Responsibilities
Minimum Qualifications
Preferred Qualifications

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The application window is expected to close on August 29, 2025.
NOTE: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Ultimately, we
Your Impact
As a Product Leader for AI Defense - Secure AI Factory within our AI Software & Platform team, you will lead efforts related to the following:
market opportunities and drive the strategy for securing AI applications acrosshybrid cloud environments.
Collaborate with engineering and product teams from Security, Data Center, Internet & Cloud Infrastructure to deliver features and improvements to Cisco’s Secure AI Factory solution.
Define new product capabilities for monitoring, and deploying software across distributed and hybrid environments, including on-premises and containerized platforms.
Drive prioritization of hardware, networking, and software requirements to ensure the delivery and operation of AI Defense software across hybrid (on-premiseand cloud) environments.
Lead cross-functional efforts across sales, marketing, partners, and business development teams, ensuring comprehensive enablement to drive successful adoption.
Minimum Qualifications
10+ years of relevant engineering and/or product management experience, including 5 years of recent experience
Background in cybersecurity or AI/ML platforms, or networking, or data center infrastructure, with an interestinaddressing challenges and delivering customer-centric solutions.
Familiarity with AI infrastructure solutions and architectures, encompassing high-performance compute.
Computer Science, Engineering, or equivalent degree, with a focus on applying technicalexpertiseto drive innovation and security in AI.
Preferred Qualifications
Experience with AIOps practices or AI Observability including model deployment, monitoring, and infrastructure automation. Understanding of distributed systems and cloud architectures relevant to AI/ML workloads
Excellent communication, leadership, and critical thinking skills, enabling effective partner engagement and decision-making in high-stakes environments.
Familiarity with containerization and orchestration technologies such as Kubernetes, OpenShift, Docker, or similar platforms
revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond.been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Simply put – we power the future.
see that the opportunities to grow and build are limitless.

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