Broadcom

Engineer

• Serve as an elite technical authority, enterprise strategist, and field-to-engineering leader across the Infrastructure Software Division
• Embed with major enterprise accounts during platform modernizations, bare metal replatforming, stateful workload migrations, and AI inferencing deployments
• Bridge core engineering, product management, executive leadership, and C-level enterprise customer architects
• Architect, scale, and validate production-grade VKS and VCF topologies
• Design and deploy production systems for real-time LLM inferencing, RAG pipelines, and distributed AI runtimes across GPU clusters
• Lead end-to-end migration strategies from legacy bare metal systems and fragmented AI workloads to cloud-native Kubernetes targets
• Engineer prototype integrations and write production operators/CRDs to unblock strategic accounts
• Upstream field contributions into core ISG codebases
• Translate customer pain points and field patterns into product requirements and influence the technical roadmap
• Set technical patterns for containerizing, tuning, and orchestrating distributed systems, data platforms, and AI engines
• Define cross-platform integration strategies across competing Kubernetes distributions
• Establish deployment standards, GitOps frameworks, and CAPI/Operator patterns
• Mentor Senior and Staff FDEs and build broader FDE execution capabilities

Principal Forward Deployed Engineer

Full-stack Engineer

• Act as an embedded engineering liaison across the Infrastructure Software Division, core software architects, product managers, and enterprise client developers
• Identify migration blockers and platform usability gaps, rapidly building and testing field fixes
• Own customer engagements from pre-migration discovery through go-live and operational stabilization
• Write production code, build manifests, debug live networking, storage, and GPU failures, and optimize VKS performance in production environments
• Translate field-tested code, architectural patterns, and customer pain points into prioritized platform features
• Architect, deploy, and maintain production-grade VKS clusters across VMware Cloud Foundation and hybrid cloud infrastructure
• Lead migration strategies for enterprise platforms, bare-metal environments, and legacy data stacks to VKS or cloud-native Kubernetes
• Deploy, tune, and scale AI inferencing workloads, RAG architectures, vector search, and model-serving frameworks on Kubernetes using NVIDIA vGPU and MIG
• Containerize, refactor, and migrate stateful engines, message brokers, distributed caches, and risk calculation/analytics platforms onto Kubernetes
• Architect cloud-native deployments for data processing, orchestration, and distributed AI frameworks
• Guide clients operating VKS alongside OpenShift, EKS, GKE, AKS, and Rancher distributions

Forward Deployed Engineer – Staff

Supervisor

• Manage daily manufacturing operations
• Lead production teams
• Ensure production output meets quality and yield targets
• Ensure safety and efficiency targets are met
• Deliver assigned tasks on time and according to schedule

Production Supervisor

• Act as an embedded engineering liaison across the Infrastructure Software Division
• Work directly with core software architects, product managers, and enterprise client developers to eliminate deployment friction
• Identify recurring migration blockers and platform usability gaps in customer environments
• Build and test field fixes to shorten feature iteration cycles
• Own engagements from pre-migration discovery through go-live and operational stabilization
• Work alongside client engineers in production environments
• Write code, build manifests, debug live networking, storage, and GPU failures, and optimize VKS performance
• Translate field-tested code, architectural patterns, and customer pain points into prioritized platform features
• Architect, deploy, and maintain production-grade VKS clusters across VMware Cloud Foundation and hybrid cloud infrastructure
• Lead migration strategies for enterprise platforms, massive bare-metal environments, and legacy data stacks to VKS or cloud-native Kubernetes
• Deploy, tune, and scale production AI inferencing workloads, RAG architectures, vector search, and model-serving frameworks on Kubernetes
• Containerize, refactor, and migrate stateful engines, message brokers, distributed caches, and risk calculation/analytics platforms onto Kubernetes
• Architect operator-driven, cloud-native deployments for data processing, orchestration, and distributed AI frameworks
• Guide clients evaluating or operating VKS alongside OpenShift, EKS, GKE, AKS, or Rancher distributions

• Act as an embedded engineering liaison across the Infrastructure Software Division
• Work with core software architects, product managers, and enterprise client developers to eliminate deployment friction
• Identify migration blockers and platform usability gaps, and rapidly build and test field fixes
• Own customer engagements from pre-migration discovery through go-live and operational stabilization
• Write production code, build manifests, debug live networking, storage, and GPU failures, and optimize VKS performance
• Translate field-tested code, architectural patterns, and customer pain points into prioritized platform features
• Architect, deploy, and maintain production-grade VKS clusters across VMware Cloud Foundation and hybrid cloud infrastructure
• Lead migrations from enterprise, bare-metal, and legacy platforms to VKS or cloud-native Kubernetes
• Deploy, tune, and scale AI inferencing, RAG, vector search, and model-serving workloads on Kubernetes
• Containerize, refactor, and migrate stateful engines, message brokers, distributed caches, and analytics platforms
• Architect cloud-native deployments for modern data processing, orchestration, and distributed AI frameworks
• Guide clients evaluating or operating VKS alongside competing Kubernetes distributions

• Serve as an elite technical authority, enterprise strategist, and field-to-engineering leader across the Infrastructure Software Division
• Embed with large, complex enterprise accounts during platform modernizations, bare-metal replatforming, stateful workload migrations, and AI inferencing deployments
• Bridge core engineering, product management, executive leadership, and C-level enterprise customer architects
• Architect, scale, and validate production-grade vSphere Kubernetes Service (VKS) and VMware Cloud Foundation (VCF) topologies
• Design and deploy production systems for real-time LLM inferencing, RAG pipelines, and distributed AI runtime frameworks across high-density GPU clusters
• Lead end-to-end migration strategies for legacy bare-metal systems, risk calculation platforms, stateful engines, and AI workloads to cloud-native Kubernetes
• Engineer prototype integrations and write production operators/CRDs in the field, upstreaming contributions into core ISG codebases
• Synthesize customer pain points and field patterns into product requirements and partner with Product Managers on roadmap prioritization
• Set technical patterns for containerizing, tuning, and orchestrating distributed systems, databases, streaming platforms, and AI data/compute engines
• Define cross-platform integration strategies across competing Kubernetes and cloud distributions
• Establish deployment standards, GitOps frameworks, and CAPI/Operator patterns across the FDE organization
• Mentor Senior and Staff FDEs

• Act as an embedded engineering liaison across the Infrastructure Software Division, working with core software architects, product managers, and enterprise client developers to eliminate deployment friction
• Identify recurring migration blockers and platform usability gaps in customer environments, rapidly building and testing field fixes
• Own the engagement lifecycle from pre-migration discovery through go-live and operational stabilization
• Work with client engineers in production environments to write code, build manifests, debug networking, storage, and GPU failures, and optimize VKS performance
• Synthesize field-tested code, architectural patterns, and customer pain points into core engineering requirements and prioritized platform features
• Architect, deploy, and maintain production-grade VKS clusters across VMware Cloud Foundation and hybrid cloud infrastructure
• Lead migration strategies for enterprise platforms, large bare metal environments, and legacy data stacks to VKS or cloud-native Kubernetes
• Deploy, tune, and scale production AI inferencing workloads, RAG architectures, vector search, and model-serving frameworks on Kubernetes using virtualized GPU resources
• Containerize, refactor, and migrate stateful engines, message brokers, distributed caches, and risk calculation/analytics platforms onto Kubernetes
• Architect operator-driven, cloud-native deployments for modern data processing, orchestration, and distributed AI frameworks
• Guide clients evaluating or operating VKS alongside OpenShift, EKS, GKE, AKS, or Rancher distributions

• Act as an embedded engineering liaison across the Infrastructure Software Division
• Identify migration blockers and platform usability gaps, rapidly building and testing field fixes
• Own customer engagements from pre-migration discovery through go-live and operational stabilization
• Write production code, build manifests, debug live networking, storage, and GPU failures, and optimize VKS performance in production environments
• Translate field-tested code, architectural patterns, and customer pain points into prioritized platform features
• Architect, deploy, and maintain production-grade VKS clusters across VMware Cloud Foundation and hybrid cloud infrastructure
• Lead migrations from enterprise, bare-metal, and legacy platforms to VKS or cloud-native Kubernetes
• Deploy, tune, and scale AI inferencing, RAG, vector search, and model-serving workloads on Kubernetes using virtualized GPUs
• Containerize, refactor, and migrate stateful engines, message brokers, distributed caches, and analytics platforms onto Kubernetes
• Architect cloud-native deployments for modern data processing, orchestration, and distributed AI frameworks
• Guide clients operating VKS alongside OpenShift, EKS, GKE, AKS, or Rancher distributions

• Serve as an elite technical authority, enterprise strategist, and field-to-engineering leader across the Infrastructure Software Division
• Embed with complex enterprise accounts during platform modernizations, bare-metal replatforming, stateful workload migrations, and AI inferencing deployments
• Bridge core engineering, product management, executive leadership, and C-level enterprise customer architects
• Architect, scale, and validate production-grade vSphere Kubernetes Service and VMware Cloud Foundation topologies
• Design and deploy production systems for real-time LLM inferencing, RAG pipelines, and distributed AI runtime frameworks across GPU clusters
• Lead end-to-end migration strategies from legacy bare-metal systems, risk calculation platforms, stateful engines, and fragmented AI workloads to cloud-native Kubernetes
• Engineer prototype integrations and write production operators/CRDs to unblock strategic accounts, upstreaming contributions into core ISG codebases
• Convert customer pain points, field workarounds, and architectural patterns into product requirements and roadmap priorities
• Set technical patterns for containerizing, tuning, and orchestrating distributed systems including Kafka, Pulsar, vector databases, in-memory grids, and AI data/compute engines
• Define cross-platform integration strategies across competing Kubernetes distributions
• Establish deployment standards, GitOps frameworks, and CAPI/Operator patterns across the FDE organization
• Mentor Senior and Staff FDEs

Solutions Engineer

• Perform value alignment with strategic customers
• Build relationships across customers’ or partners’ IT and business silos
• Understand, build, document and share knowledge of portfolio management, agile transformation, challenges and potential impact of planned projects
• Act as a valued resource early in the customer decision-making process
• Identify and lead adoption activities with key customers
• Maintain account opportunity, engagement and adoption information
• Manage and direct team members within assigned accounts
• Maintain understanding of Agile Operations Division capabilities and products across the portfolio
• Maintain functional and technical understanding of the ValueOps domain
• Maintain understanding of third-party solutions and tools related to the domain
• Perform demos and proof of value for PPM and Agile solutions
• Present solution and adoption roadmaps to customers
• Collaborate with Sales, R&D, Services and Management on solution technology, architecture and roadmap alignment
• Collaborate with other domain members in the territory on account understanding and learning
• Collaborate in defining and executing account marketing activities

Solution Engineer – ValueOps

Product Marketing

• Develop high-impact competitive enablement content, including technical battlecards and positioning guides
• Monitor market movements and translate competitive news into actionable insights for sales, marketing, and product management teams
• Inform product roadmap decisions through market intelligence and strategic insights
• Conduct regular competitive enablement sessions and live training for partners and internal field teams
• Provide on-demand deal support and customized competitive guidance for strategic account renewals and new business acquisition
• Create dynamic battlecards, comprehensive compete kits, positioning guides, market intelligence updates, sales enablement training, and strategic deal support resources
• Support competitive programs for the Catalyst partner network and internal account teams across Symantec and Carbon Black brands

Product Marketing Manager – Competitive Intelligence

Operations

• Perform the Final Visual Inspection process for Inovance products

Manufacturing Operations Support 1

• Perform the Final Visual Inspection process for Inovance product

Mfg Ops Support 1

• Perform final visual inspection of Inovance products

• Provide manufacturing operations support
• Perform dressing FF2