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Designs and deploys production Kubernetes platforms, AI infrastructure, and stateful data workloads for enterprise clients. Leads legacy and bare-metal migrations, GPU-accelerated inferencing, cloud-native modernization, live troubleshooting, and customer technical engagements. Writes production code and prototypes in the field while translating deployment challenges into product requirements and engineering improvements. Works across VKS, hybrid cloud, competing Kubernetes distributions, distributed systems, data platforms, messaging, vector databases, and GitOps infrastructure.

Leads enterprise Kubernetes and AI infrastructure modernization engagements from architecture through production rollout. Deploys and troubleshoots VKS clusters, GPU-accelerated AI workloads, stateful data platforms, messaging systems, and legacy migrations. Writes production code and prototypes in customer environments, collaborates with core engineering and product teams, and translates field issues into platform improvements. Requires extensive experience with Kubernetes distributions, cloud-native data and AI tooling, distributed systems, infrastructure as code, and GitOps.

Embeds with enterprise engineering teams to architect, deploy, migrate, and troubleshoot production Kubernetes platforms and AI infrastructure. Responsibilities include modernizing bare-metal and legacy workloads, operating GPU-enabled clusters, deploying data and AI services, migrating stateful systems, and supporting multi-cloud Kubernetes environments. The role writes production code, develops integrations, resolves field issues, and translates customer feedback into product requirements for core engineering teams. It requires deep distributed systems, cloud-native, infrastructure-as-code, GitOps, and enterprise engagement expertise.

Leads enterprise infrastructure modernization, Kubernetes and VMware architecture, distributed AI inferencing, large-scale migrations, and stateful workload deployments. Acts as a technical bridge between engineering, product leadership, and executive customers; develops production code, operators, and reference implementations; influences product roadmaps; establishes GitOps and deployment standards; and mentors senior engineers. Requires deep expertise in Kubernetes, cloud-native platforms, GPU infrastructure, distributed systems, multi-cloud interoperability, and legacy-to-cloud migration.

Lead enterprise infrastructure modernization and AI platform deployments as a principal field engineering authority. Architect Kubernetes, VMware, GPU, distributed systems, and multi-cloud environments; guide large-scale migrations from legacy bare metal and stateful platforms; develop production operators and integrations; influence product roadmaps through customer feedback; establish deployment standards; and mentor senior field engineers.

Lead and participate in complex ASIC physical implementations across synthesis, DFT, floorplanning, P&R, clock and power methodology, timing closure, signal integrity, and physical verification using multiple EDA tool flows.

Design Engineer on Broadcom's Custom Silicon Design Team working on physical implementation of high-performance ASICs (3 nm and below). Responsibilities include floorplanning, placement, clock tree synthesis, routing, timing closure, physical verification, and signoff. Work in UNIX environments, use TCL (Python/Perl preferred) and commercial/in-house EDA tools, collaborate cross-functionally, and contribute to design flow automation and silicon bring-up. Requires Electrical/Electronics Engineering degree and strong VLSI/ASIC fundamentals.

Develop, debug, test, and support embedded firmware for Fibre Channel and NVMe networked-storage products. Responsibilities include firmware design and implementation, target-mode and error-recovery support, protocol testing, automated test script development, debugging with embedded tools, and collaboration with cross-functional teams and OEM clients. The role requires adherence to software development, documentation, coding, testing, and bug-tracking processes.

The IC Design Engineer designs and develops integrated circuits, oversees ASIC development, defines architecture, and evaluates processes. Responsibilities include leading product delivery and mentoring junior team members.

Designs advanced RF power amplifiers for RF front-end modules across architecture, system design, transistor-level circuits, simulation, layout, and validation. Collaborates with RF, layout, and validation teams; correlates simulations with measurements; characterizes circuits in the lab; and addresses linearity, memory effects, AM-PM distortion, thermal behavior, and debugging challenges.