Jobs at Cisco

Lead a security platform engineering team to design and deliver cloud-native AWS services, unify policy outcomes, integrate AI/ML into workflows, manage risk and priorities, mentor engineers, and communicate progress to senior leadership while driving cross-functional adoption and high-quality architecture.

Lead PCB technical strategy and supplier qualification, perform failure analysis and corrective actions, support PCB design and manufacturing requirements, collaborate cross-functionally, and drive supplier audits and reliability improvements.

Lead a team building backend services for Cisco Secure Workload: process telemetry at scale, render policies to many enforcement points, build low-latency APIs, and improve scale, performance, reliability, robustness, and security in complex distributed environments.

Principal Engineer for backend services of a cloud-native workload security product. Provide technical leadership, design scalable low-latency APIs, process telemetry at scale, render policies to many enforcement points, and improve performance, reliability, robustness, and security in distributed environments.

Technical Lead for workload security backend services, providing architecture and hands-on leadership to build scalable, low-latency telemetry processing, policy rendering, and API systems. Focus on performance, reliability, robustness, and security in distributed cloud and Kubernetes environments.

Lead verification strategy and execution for complex ASIC/SoC programs. Architect scalable UVM/SystemVerilog-based verification infrastructure, drive emulation/prototyping and formal verification, mentor teams, influence ASIC design for testability, and lead root-cause analysis during silicon bring-up and post-silicon validation.

Design and validate server subsystems, ensure designs meet functional specifications, create technical documentation, collaborate cross-functionally, manage JDMs, and deliver quality hardware products on time.

Design and maintain block/cluster/top-level ASIC verification environments, build reusable testbenches, create and run constrained-random and directed tests, implement coverage, run gate-level simulations, support emulation and post-silicon bring-up, and collaborate with designers and software teams to debug complex chip issues.

Lead and define ASIC verification strategy and methodology across programs. Architect scalable verification infrastructure, mentor teams, drive cross-functional improvements, influence ASIC design for verifiability, and lead root-cause analysis during bring-up and post-silicon validation.

Lead technical design and implementation of a cloud-based Data Center Infrastructure Management product. Build scalable microservices and distributed systems using Java/Go/C++/Python on AWS/GCP/Azure. Collaborate with cross-functional teams to deliver production-ready, maintainable solutions for AI and edge datacenter infrastructure. Hybrid role based in Milpitas, CA.

Lead ASIC verification strategy and execution across programs: define methodology, architect reusable verification infrastructure, mentor teams, drive cross-functional efficiency, influence design-for-testability, and lead root-cause analysis for bring-up and post-silicon validation.

Evaluate, qualify, and support production introduction of interconnect components and connectors to optimize signal integrity, mechanical robustness, reliability, and manufacturability. Collaborate with suppliers and cross-functional teams from concept through NPI, perform tolerance/material/plating assessments and validation testing, and apply continuous improvement and quality tools to resolve performance and reliability issues for high-speed networking products.

Lead design and development of scalable full-stack, cloud-native applications for CX Platform. Integrate AI/ML features, build microservices and real-time pipelines, ensure API security and performance, collaborate across product/design/engineering, and contribute to architecture, testing, and CI/CD practices to improve customer outcomes.

Perform extraction and static timing analysis (STA) at block, sub-chip, and full-chip levels; develop STA flow, convergence strategies, and correlation between PNR, SPICE, and STA; close timing issues, handle ECOs, create methodologies, guidelines, and checklists, and resolve design and flow issues while collaborating with Physical Design.

Lead product definition and customer scope for complex engineered SaaS systems. Bridge technical architecture and commercial needs, drive cross-functional integration across engineering, sales, legal and regulatory, document operational and technical scope, align solutions with Cisco buying and billing programs, and autonomously deliver strategic product roadmaps for provider mobility and service provider customers.

Lead enterprise-level programs integrating Splunk with Cisco sales processes. Influence senior stakeholders, design and scale deal strategy processes, deliver advanced reporting and AI-driven insights, run cross-functional workshops, and drive operational excellence and risk mitigation for global sales initiatives.

Lead NPI and GTM strategy for cloud and AI offerings across Splunk and Cisco. Drive program management, deal strategy, AI solution architecture, executive reporting, and cross-functional launch assessments to scale new products and mitigate risk. Partner with sales, finance, legal, and operations to support deal structuring and enablement.

Lead GTM strategy and execution for Cisco's agentic AI platform, building commercialization frameworks, pricing/packaging, and scalable GTM programs. Drive cross-functional alignment with Sales, Product, Marketing, Finance, and Customer Success, establish governance, KPIs, and continuous improvement for product launches and adoption.

Lead global product lifecycle strategy and cost management from launch to EOL. Oversee engineering change governance, quality and margin optimization, risk assessment, sustaining issue resolution, and cross-functional stakeholder alignment for complex high‑tech product portfolios.

Build, operate, and improve Kubernetes-based production infrastructure and deployment systems for cloud and air-gapped environments. Own deployments, observability, automation, CI/CD, and incident response. Tune databases and infrastructure, develop tooling in Python/Go, manage IaC (Terraform), and collaborate with engineering and customers to ensure secure, scalable, reliable systems.