Jobs at Cisco

Supports commercial finance leadership through annual planning, forecasting, pipeline analysis, discount governance, expense management, compliance, internal controls, and financial reporting. The role improves forecast accuracy, automates reporting, enhances processes, and provides financial insights for sales decision-making. It also supports planning readiness, organizational hierarchy updates, and asset safeguarding across lab and demo loan programs.

Designs, builds, tests, and operates backend services, APIs, data pipelines, and platform components for AI-enabled cybersecurity detection and investigation. Processes security telemetry, develops correlation and enrichment capabilities, prototypes AI features, and evaluates accuracy, reliability, latency, and cost. The role also involves code reviews, CI/CD, observability, troubleshooting, production support, and collaboration with security experts, researchers, product managers, and engineering teams.

Leads the end-to-end lifecycle of Cisco buying programs, including value proposition development, market adoption, legacy program retirement, scaling, enablement, and stakeholder feedback. Drives AI and Enterprise Agreement business model innovation, governs strategic roadmaps and investment priorities, and partners with Sales, Finance, Legal, Product, customers, and channel partners to deliver scalable commercial programs.

Design and integrate ASICs for Cisco networking products. Responsibilities include writing Verilog RTL, reviewing microarchitecture, supporting chip integration and timing analysis, developing functional coverage, debugging simulations and software bring-up, resolving physical design issues, and performing post-silicon validation. The role is an internship requiring enrollment in an undergraduate program, foundational Verilog/SystemVerilog knowledge, and digital-system debugging experience.

Direct the architecture, development, and delivery of AI-enabled client applications across mobile, desktop, and embedded platforms. Lead a team of 5–8 senior engineers while remaining hands-on with production code, architecture, performance optimization, multimodal AI integration, streaming interfaces, offline resilience, security, telemetry, and release planning. Build modular client frameworks that support distributed engineering contributions across Cisco’s MyAgent enterprise AI platform.

Translate enterprise networking, AI, security, and fabric technologies into customer-focused solutions. Create technical content, deployment guides, demonstrations, and presentations; support sales teams; validate product features in labs; collaborate with Engineering and Product Management on roadmaps; and provide customer and market feedback to drive product adoption and strategic direction.

Marketing internship focused on developing foundational marketing and communications skills through cross-functional projects, mentorship, networking, and exposure to campaigns, content, brand, digital media, events, operations, and analytics. Interns collaborate with peers and marketing leaders, complete a business-relevant group project, and contribute creative problem-solving in a fast-paced hybrid environment.

Design and build AI-native cybersecurity platforms that analyze large-scale security telemetry, correlate events, predict threats, and generate explainable alerts. Develop scalable distributed systems, data pipelines, AI DevOps workflows, agentic systems, RAG and embedding solutions, and model integrations. Collaborate with security researchers, SMEs, product managers, and engineering teams to create trusted automation and analyst-focused threat detection, investigation, and response capabilities.

Design and build AI-powered cybersecurity platforms that ingest and normalize massive security telemetry, correlate events, predict threats, and generate explainable findings. Develop Python backend services, distributed storage systems, and AIDevOps pipelines for rapid experimentation. Integrate foundation models, agentic systems, RAG, embeddings, and graph-based models into analyst workflows. Collaborate with product teams, security experts, and engineers to deliver scalable, trusted threat detection and automation capabilities.

Leads complex cross-functional projects and process improvements for Cisco’s Failure Analysis and Prevention team. Responsibilities include defining project scope, schedules, metrics, budgets, risks, and mitigation plans; managing delivery and stakeholders; coordinating vendors; driving organizational change; training team members; and evaluating results to improve productivity, quality, and product outcomes.

Leads Cisco Silicon One’s Enterprise Data, Analytics and AI team. Establishes enterprise data architecture, governance, pipelines, and reusable data products; directs predictive modeling, forecasting, anomaly detection, AI agents, automation, and executive BI. Partners with senior leaders on strategy, priorities, risks, and investments while hiring, coaching, and developing technical contributors. Ensures AI solutions are secure, observable, cost-efficient, and production-ready.

Operate and evolve a hardware lab supporting ASIC/SoC silicon bring-up, EVB development, validation, and system debug. Manage lab equipment, infrastructure, and resources; coordinate cross-functional and global priorities; drive lab process improvements and vendor interfacing to support silicon qualification and customer enablement.

Develops ASIC design verification infrastructure, test plans, testbenches, and coverage for block, cluster, and top-level chip verification. Executes constraint-random and directed testing, gate-level simulations, emulation, and post-silicon debugging. Collaborates with designers, architects, and software teams to qualify complex hardware platforms and resolve integration issues.

Lead production engineering for Cisco’s AI platform by optimizing model routing, latency, token efficiency, batch capacity, and fine-tuning costs. Build reliable validation and regression pipelines for AI agents, ensure generated code is secure and production-ready, and own features from research through deployment, monitoring, and post-mortems. Provide technical leadership, mentor peers, and align cross-functional teams on performance, quality, security, and cost trade-offs.

Own the strategy, roadmap, and lifecycle for Cisco’s AI-driven SASE platform. Design agentic workflows that unify network and security operations, integrate AI models, and improve automation and investigation speed. Coordinate engineering, data science, design, marketing, business development, and support teams from ideation through commercialization. Define product metrics, communicate value propositions, drive customer and partner adoption, and oversee platform enhancements and releases.

Provides high-level administrative support to a VP of Product Management, including calendar and meeting management, executive communications, global travel and expense coordination, speaking engagement preparation, corporate and team event planning, special projects, reporting, and confidential information handling. The role requires strong judgment, communication, organization, initiative, and experience supporting director-level or higher executives.

Lead strategy, architecture, and adoption of Cisco’s AI evaluation platform. Define benchmarking, automated LLM judging, human review, release gates, quality standards, regression detection, production telemetry, and feedback loops. Partner with research, engineering, and product teams to standardize evaluation frameworks across the organization and improve the reliability, safety, and accuracy of generative AI, RAG, and autonomous agent systems.

Designs and develops enterprise and small-business networking switches from architecture through production. Responsibilities include creating technical documentation, system block diagrams, schematics and layout reviews, hardware bring-up, troubleshooting, validation, yield improvement, supplier collaboration, and sustaining customer issue resolution. The role partners with ASIC suppliers, ODM/JDM manufacturers, software, product management, and cross-functional teams throughout new product introduction and commercialization.

Develops test plans and SystemVerilog testbenches to verify ASIC Design-for-Test architecture for ATE screening, in-system testing, debugging, diagnostics, and post-silicon validation. Collaborates with design verification, physical design, and product teams to integrate and validate test logic. Develops reusable test and debug methodologies for advanced silicon, bare die, and stacked die designs.

Lead DFT verification for Cisco Silicon One ASICs by planning tests, developing SystemVerilog testbenches, and validating DFT logic across design, physical implementation, and post-silicon flows. Collaborate with RTL, design verification, and physical design teams on ATE screening, in-system testing, debug, diagnostics, scan, JTAG, MBIST, and boundary-scan methodologies. Independently debug complex designs and drive reusable verification strategies for advanced silicon architectures.