Base Salary
$132k - $212k/yr
Responsibilities
- Serve as the primary technical authority connecting core engineering, product management, executive leadership, and enterprise customer architects.
- Architect, scale, and validate production VMware Cloud Foundation and vSphere Kubernetes Service topologies for complex and regulated deployments.
- Design and deploy real-time LLM inference systems, Retrieval Augmented Generation pipelines, and distributed AI runtimes on high-density GPU clusters.
- Lead migration strategies for legacy bare-metal systems, stateful platforms, risk-calculation systems, and AI workloads to cloud-native Kubernetes environments.
- Write production operators, Custom Resource Definitions, prototype integrations, and other infrastructure code in the field, upstreaming contributions into core engineering codebases.
- Convert customer pain points and field patterns into product requirements and influence multi-year product roadmaps.
- Establish deployment standards, GitOps frameworks, and Cluster API and Operator patterns while mentoring Senior and Staff Forward Deployed Engineers.
Requirements
- 17+ years of related experience is required, including 10+ years of software engineering experience and 5+ years driving large-scale infrastructure, distributed-systems, AI-platform, or Kubernetes architectures.
- Principal-level experience commanding technical credibility with C-suite stakeholders while remaining hands-on with production code and staff-level engineers.
- Expertise in Kubernetes internals, Custom Resource Definitions, Kubernetes Operators, Cluster API, and GitOps architectures such as ArgoCD and Flux.
- Experience architecting AI inference pipelines, virtualized GPU environments, model-serving frameworks, and distributed inference topologies.
- Expertise running high-throughput, low-latency stateful systems, including distributed compute, vector and NoSQL databases, caching systems, messaging, streaming, and analytics engines.
- Demonstrated experience migrating complex enterprise monoliths, mainframe or bare-metal environments, and siloed AI hardware to cloud-native platforms.
- Hands-on systems and platform development experience in Go, Python, or Java.
- Technical fluency across OpenShift, EKS, GKE, AKS, Rancher, RKE/RKS, CSI/CNI, RDMA, InfiniBand, RoCEv2, and storage abstractions.
- A bachelor's degree is preferred; relevant years of experience may be considered in lieu of a degree.
Benefits
- Annual base salary range of USD 132,200.00 to USD 211,500.00, plus eligibility for a discretionary annual bonus and equity awards.
- Medical, dental, and vision plans; 401(k) participation with company matching; Employee Stock Purchase Program; Employee Assistance Program; company-paid holidays; paid sick leave; vacation; and applicable paid family and other leave.
- The posting indicates that applicants located outside the USA should provide a home address for future correspondence.
Tech Stack
Categories
About Broadcom
Broadcom provides semiconductors and infrastructure software for global organizations’ complex, mission-critical needs. We combine long-term R&D investment with superb execution to deliver the best technology, at scale. Through focus and expertise, Broadcom sets the standard in industries where technology breakthroughs shape markets. Our semiconductor and semiconductor-based solutions serve markets across networking connectivity, wireless device connectivity, servers and storage systems, broadband, and industrial. Broadcom’s infrastructure software solutions serve markets including private cloud, mainframe software, cybersecurity, enterprise software, and Fibre Channel storage area network management. With these core technologies, we help customers accelerate their innovation.