Jobs at Cisco

Lead Cisco’s Americas sales engineering organization for AI Infrastructure and Connectivity. Develop technical sales strategy, influence market direction, lead high-stakes customer validations, build executive and ecosystem relationships, and manage geographically dispersed engineering teams. Drive technical wins, resource allocation, opportunity management, forecasting, thought leadership, mentorship, and technical excellence across AI infrastructure, cloud-native networking, and data center solutions.

Lead Americas sales strategy, go-to-market planning, and execution for Cisco’s AI infrastructure and connectivity portfolio. Manage a specialist sales team, grow hardware and software offerings, build C-suite relationships, improve pipeline and forecasting rigor, and foster an inclusive, high-performing sales culture.

Design and evolve distributed search and analytics systems for the Splunk platform. Lead complex engineering efforts from design through delivery, improve performance and reliability, mentor engineers, collaborate cross-functionally, and work with customers to resolve production issues.

Leads complex, high-visibility security engineering programs from strategy through execution. Owns roadmaps, OKRs, delivery, KPIs, risk management, prioritization, executive communications, and cross-functional alignment. Treats security services as products, improving developer adoption and reducing friction while strengthening program management practices, standards, and tooling.

Legal summer interns work across Cisco’s legal practice groups, supporting internal clients on varied legal issues related to networking, security, and collaboration products. Responsibilities include legal research, project work, developing an end-of-summer presentation for senior leadership, and participating in mentoring, networking, and skills training. Successful completion may lead to future internships and a post-graduation legal rotation program.

Design and lead long-term technical strategy for high-throughput ingestion pipelines. Architect, implement, and scale distributed systems and data processing pipelines. Improve reliability, performance, and operational excellence; collaborate with product and platform leaders; mentor engineers and drive technical standards and adoption of emerging technologies.

Cisco’s Legal Experience Acceleration Program is an 11-week in-house summer internship for law students. Interns support multiple legal practice groups, research legal issues, assist internal clients, contribute to projects supporting Cisco products and services, receive mentorship and training, and present an end-of-summer project to senior legal leadership. Successful completion leads to a two-year post-graduation legal rotation program.

Lead creation of purpose-built large language models for Cisco's networking, security, data center, and observability domains. Drive end-to-end pre-training, distillation, and continual pre-training efforts, curate datasets and tokenization strategies, train models on large distributed GPU clusters, publish top-tier research, and collaborate with cross-functional teams to deploy research into scalable product solutions.

Draft and negotiate complex AI procurement, SaaS, and data licensing agreements; manage contract pipelines and AI-assisted lifecycle processes; advise business leaders on regulatory, legal, contractual, IP, and data risks; develop playbooks and guidelines; and lead cross-functional initiatives supporting AI strategy, product roadmaps, and go-to-market activities.

Lead research and production deployment of AI systems for intelligent code generation. Define the roadmap for agentic GenAI, DSL-aware code synthesis, model planning, evaluation, and tool integration. Improve distributed training and inference efficiency while partnering with engineering and product teams to deliver reliable customer capabilities. Mentor research teams and shape long-term AI strategy, architecture, investments, and organizational direction.

Leads business operations for Cisco’s Americas Hyperscale and AI Sales organization. Responsibilities include cross-functional planning, large-deal approval, go-to-market strategy, lifecycle optimization, market and portfolio planning, account penetration, change management, and technical program management. Partners with executive leadership, Finance, Legal, Supply Chain, Business Units, and strategic enterprise customers to accelerate deal execution and support long-term growth.

Own strategic product outcomes for Cisco Cloud Control Studio, a platform for enterprise AI agents and applications. Responsibilities include defining lifecycle defaults, managing multi-tenant isolation, identity, authorization, persistent state, and observability, sequencing platform milestones, prototyping solutions, and aligning engineering, security, architecture, and go-to-market stakeholders. The role requires product strategy and roadmap leadership for enterprise cloud platforms, developer ecosystems, or multi-tenant SaaS environments.

Build scalable data and ML systems for LLM training, post-training, evaluation, and continuous improvement. Responsibilities include creating data pipelines, human-in-the-loop labeling workflows, synthetic datasets, quality metrics, and automated evaluation systems. The role applies LLMs and machine learning to data generation and validation, processes large-scale structured and unstructured data, translates research into production systems, and provides technical leadership and mentorship.

Drive enterprise software revenue by prospecting, closing, and expanding accounts. Build long-term pipeline, meet license/support/service targets, orchestrate complex multi-stakeholder deals, leverage channels, position machine learning and predictive analytics, and collaborate cross-functionally to deliver customer value.

Lead software security for Cisco’s IT and Enterprise Operations portfolio. The role owns security posture, threat modeling, secure architecture reviews, AI and LLM security, risk-based remediation, security metrics, and release risk reporting. It partners with engineering, product, and IT leadership to drive security outcomes without direct authority, coordinate security subject-matter experts, and reduce security debt across cloud-native applications and enterprise platforms.

Leads Cisco’s global compliance data analytics program, managing the Compliance Analytics & Enablement team. Develops multi-year analytics and AI/ML roadmaps, builds automated compliance risk monitoring and early-warning systems, integrates enterprise data sources, and delivers actionable insights to senior executives and the board. Partners with Legal, Compliance, Audit, engineering, and business teams to support compliance-by-design, regulatory risk mitigation, and data-driven decision-making.

Lead development of secure, cloud-native networking and simulation platforms supporting Cisco’s domain-specific AI models. Architect network topologies, automate Cisco controller integrations, build distributed software, and establish data validation and provenance pipelines. Apply zero-trust security, threat modeling, RBAC, IAM, and secrets management. Implement telemetry and monitoring, conduct root-cause analysis, mentor engineers, guide technical standards, and shape the engineering roadmap across AI research, security, product, and infrastructure teams.

Define Cisco’s multi-year AI research strategy and architecture for purpose-built large language models in networking, security, data center, and observability. Lead massive-scale pre-training, continual pre-training, reinforcement learning, alignment, agentic framework, and autonomous operations initiatives. Advise executive leadership on production-scale AI ecosystems, publish influential research, lead academic initiatives, and mentor senior research talent.

Leads threat intelligence, threat hunting, and security engineering initiatives. Delivers incident-response intelligence, conducts hunts across large datasets, identifies adversary activity missed by detections, and builds scalable scripts, API integrations, automation, and AI-enabled tooling. Produces intelligence reports and presentations, collaborates with detection engineering, mentors team members, and participates in on-call support for major incidents.

Lead CDC/RDC methodology for ASIC subsystems: design and implement CDC-aware RTL, define CDC check flows and SDC constraints, perform static glitch and gate-level analysis, review/approve constraints and waivers, and collaborate with CAD to productionize robust, reusable silicon designs.