R&D Engineer Software 5

Broadcom

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Promontory E, CA
Salary
$143,800–$230,000 / yr
Employment
Full-time
Posted
12 days ago
Freshness
Confirmed live today
Closes
Jan 3, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $197k
This role $187k
$132k $258k
below market most similar roles pay here above market

This role pays less than 59% of similar roles. Most pay $147,500–$246,150 — the blue band above. At the midpoint, this role pays about $187k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Broadcom

Broadcom is a global semiconductor and infrastructure software company that designs and markets a wide range of networking, storage, and wireless connectivity solutions. Industry: Semiconductors & Infrastructure Software

Broadcom currently has 237 open roles on FindRole.

Listed pay typically runs $121,900–$195,000 across 160 roles with salary data.

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View all roles at Broadcom

At a glance

TL;DR · R&D Engineer Software 5

As a Principal Member of Technical Staff, the R&D Engineer Software 5 will join the team to build the next generation of the ValueOps Financial Intelligence Solution. This role involves designing and delivering AI-powered capabilities to transform cloud financial management, engineering productivity, and enterprise decision making. You will develop enterprise-scale cloud-native services, APIs, microservices, and data pipelines. Key responsibilities include building intelligent services for cloud cost optimization, tokenomics, capacity forecasting, and AI copilots. You will utilize technologies including Java, Spring Boot, Kubernetes, and distributed systems. The role requires expertise in Generative AI, LLMs, Agentic AI, MCP, RAG, and Prompt Engineering. You will build applications on AWS, Azure, GCP, or VMware Cloud Foundation, focusing on solving complex business problems through scalable technical solutions and AI orchestration.

What you'll do

  • 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, and budget recommendations.
  • Develop APIs, microservices, data pipelines, and AI orchestration services.
  • Translate business requirements from Product Management into scalable technical solutions.
  • Improve engineering productivity by collaborating with DevOps teams on AI-assisted software development.
  • Mentor engineers on modern AI engineering practices and software architecture.

What we're looking for

  • 8+ years of experience developing enterprise SaaS applications.
  • Strong experience with Java, Spring Boot, Kubernetes, and distributed systems.
  • 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.

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