R&D Engineer Software 5

Broadcom; Palo Alto (CA); On-site; USD 144,000 - 230,000; Full time

Job summary

Broadcom seeks a highly technical Principal Member of Technical Staff to shape AI-powered capabilities for the ValueOps Financial Intelligence Solution. You will partner with PM, Engineering Leadership, and AI Platform teams to craft cloud-native services and enterprise-grade AI orchestration.

You will mentor engineers, design scalable APIs and data pipelines, and collaborate across cloud platforms to optimize costs, forecast capacity, and deliver executive insights.

Qualifications

• 8+ years developing enterprise SaaS applications.
• Strong Java, Spring Boot, Kubernetes, and distributed systems experience.
• Experience with Generative AI, AI Agents, LLM integration, Prompt Engineering, MCP, and RAG.
• Experience building cloud-native applications on AWS, Azure, GCP, or VMware Cloud Foundation.
• Strong understanding of APIs, microservices, event-driven architectures, and DevOps.
• Excellent collaboration and problem-solving skills.

Responsibilities

• Design and develop enterprise-scale cloud-native services supporting Unified Hybrid FinOps.
• Build AI-powered capabilities using LLMs, Agentic AI, MCP, RAG, and enterprise knowledge platforms.
• Develop intelligent services for:
• Cloud cost optimization
• Tokenomics
• Capacity forecasting
• Budget recommendations
• Executive insights
• Portfolio analytics
• AI copilots
• Partner with Product Management to translate business requirements into scalable technical solutions.
• Collaborate with DevOps teams to improve engineering productivity through AI-assisted software development.
• Develop APIs, microservices, data pipelines, and AI orchestration services.
• Mentor engineers on modern AI engineering practices and software architecture.

Skills

Java

Spring Boot

Kubernetes

Distributed systems

Generative AI

LLM integration

Prompt engineering

APIs

Microservices

DevOps

Tools

AWS

Azure

GCP

VMware Cloud Foundation

Job description

USA-CA - Promontory E

Full time

R026440

Job Description

Position Overview

We are seeking a highly technical individual contributor to help build the next generation of the ValueOps Financial Intelligence Solution. As a Principal Member of Technical Staff, you will partner closely with Product Management, Engineering Leadership, AI Platform teams, and Cloud Operations to design and deliver AI-powered capabilities that transform cloud financial management, engineering productivity, and enterprise decision making.

This role combines deep software engineering expertise with AI, cloud, and enterprise platform experience. The ideal candidate is passionate about building intelligent enterprise software and enjoys solving complex business problems using modern AI technologies.

Responsibilities

• Design and develop enterprise-scale cloud-native services supporting Unified Hybrid FinOps.

• Build AI-powered capabilities using LLMs, Agentic AI, MCP, RAG, and enterprise knowledge platforms.

• Develop intelligent services for:

• Cloud cost optimization

• Tokenomics

• Capacity forecasting

• Budget recommendations

• Executive insights

• Portfolio analytics

• AI copilots

• Partner with Product Management to translate business requirements into scalable technical solutions.

• Collaborate with DevOps teams to improve engineering productivity through AI-assisted software development.

• Develop APIs, microservices, data pipelines, and AI orchestration services.

• Mentor engineers on modern AI engineering practices and software architecture.

Qualifications

• 8+ years developing enterprise SaaS applications.

• Strong Java, Spring Boot, Kubernetes, and distributed systems experience.

• Experience with Generative AI, AI Agents, LLM integration, Prompt Engineering, MCP, and RAG.

• Experience building cloud-native applications on AWS, Azure, GCP, or VMware Cloud Foundation.

• Strong understanding of APIs, microservices, event-driven architectures, and DevOps.

• Excellent collaboration and problem-solving skills.

Success Measures

• Deliver scalable AI services that become foundational capabilities of the ValueOps Financial Intelligence Solution

• Improve engineering productivity through AI-enabled development.

• Build reusable AI services that accelerate product innovation across the ValueOps portfolio.

Compensation and Benefits

The annual base salary range for this position is USD 143,800.00 To USD 230,000.00

As a valued member of our team, you'll be eligible for a discretionary annual bonus and the opportunity to receive not only a competitive new hire equity grant, but also annual equity awards, connecting your success directly to the company's growth. All subject to relevant plan documents and award agreements.

Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.

Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.

If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.

Welcome! Thank you for your interest in Broadcom!

We are a global technology leader that designs, develops and supplies a broad range of semiconductor and infrastructure software solutions.

For more information please visit our video library (http://www.broadcom.com/videos) and check out our Connected by Broadcom (https://www.broadcom.com/support/resources/video-webinar-library?channel=5c9658f7c1d34eca91c6cc16178e5b1b&video=7d72b04ea50046a394e682fab640ce20) series.

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