R&D Software Engineer

About This Role

• Position Overview We are seeking a Staff/Principal R&D Software Engineer (ICB5) to serve as a technical architect and hands-on leader in redefining how enterprise software is built, orchestrated, and delivered using Agentic AI .
• In this individual contributor leadership role, you will design, build, and deploy high-impact AI systems and platforms that unify Product Portfolio Management (PPM/SPM), Agile Planning, Engineering Execution, and DevOps into an autonomous operating engine.
• Working at the intersection of AI/ML, distributed systems, and software engineering productivity, you will partner closely with Engineering, Product, and R&D Leadership to architect scalable Agentic AI workflows, modernize technical delivery platforms, and optimize the ValueOps portfolio.
• The ideal candidate combines deep software engineering expertise in distributed systems and AI platform development with a systems-thinking approach to software delivery pipelines, Lean Portfolio Management, and developer productivity.
• What You'll Do Architect & Build AI-Powered Delivery Platforms Design, build, and scale Agentic AI systems, LLM pipelines, and autonomous agents integrated directly into R&D, product management, and engineering workflows.
• Engine-level development for AI-driven business case generation, automated backlog grooming, capacity modeling, and predictive portfolio risk analysis.
• Transform manual project and product management processes into event-driven, autonomous software workflows using modern agentic frameworks.
• R&D & Engineering Productivity Transformation Partner with Platform Engineering, DevOps, and Security teams to embed AI copilot patterns, CI/CD telemetry, and Value Stream Management engines into standard developer workflows.
• Architect real-time operational telemetry engines and executive dashboards by aggregating data from across modern developer toolchains (e.g., git, CI/CD pipelines, issue trackers, deployment platforms).
• Eliminate friction in software execution through intelligent automation, automated static/dynamic analysis integration, and self-healing deployment pipelines.
• Technical Leadership & Governance Function as the principal technical authority across cross-functional R&D initiatives, leading technical designs, RFCs, and architecture reviews.
• Manage complex technical dependencies, system interfaces, and API contracts across core product, cloud infrastructure, and security platforms.
• Define and maintain technical benchmarks for system reliability, latency, cost-efficiency, and privacy for deployed Agentic AI models.
• Change Engineering & Culture Drive technical adoption of AI engineering practices across global R&D teams.
• Mentor senior and staff engineers in agentic architectures, prompt/context engineering, graph databases, and resilient system design.
• Champion a culture of high engineering standards, continuous integration, data-driven decision-making, and open technical discourse.
• Qualifications Required Experience : Bachelors and 12+ years of related experience; at this level a post-graduate degree is typically expected or Masters degree and 10+ years of related experience or PhD and 7+ years of related experience 10+ years of professional software engineering experience building complex, distributed backend systems, enterprise platforms, or developer tools. 3+ years in a technical leadership capacity (Staff/Principal Engineer or equivalent IC level) driving cross-organization architecture initiatives.
• Strong proficiency in modern enterprise programming languages (e.g., Python, Go, Java, TypeScript/Node.js).
• Hands-on experience developing, fine-tuning, or deploying Generative AI, Agentic AI, or LLM-based architectures (e.g., LangChain, LlamaIndex, AutoGen, Semantic Kernel, custom multi-agent orchestrations).
• Deep technical understanding of Software Portfolio Management (SPM), Agile delivery engines, and DevOps toolchains (e.g., Jira APIs, GitHub/GitLab, Azure DevOps, Jenkins/GitHub Actions).
• Proven track record of architecting event-driven systems, RESTful/gRPC APIs, and scalable data pipelines.
• Exceptional technical communication skills, with the ability to articulate complex architectural decisions to both technical peers and executive leadership.
• Preferred Strong understanding of ValueOps concepts: Lean Portfolio Management, Value Stream Management (VSM), OKR tracking systems, and financial capacity modeling.
• Experience with graph databases (e.g., Neo4j), vector stores (e.g., Pinecone, Milvus, Qdrant), and retrieval-augmented generation (RAG) pattern optimization.
• Background in cloud-native platform engineering (Kubernetes, AWS/GCP/Azure serverless architectures, Terraform).
• Experience building or customizing software planning tools (Clarity, Rally, ServiceNow SPM, Planview).
• B.S., M.S., or Ph.D. in Computer Science, Software Engineering, or a related quantitative field.
• Leadership Competencies Architectural Visionary: Able to translate high-level business goals into clean, resilient, and extensible software architectures.
• Engineering Force Multiplier: Elevates the technical capability of surrounding engineering teams through code reviews, design docs, and hands-on implementation.
• Data-Driven & Systems Minded: Analyzes engineering metrics (lead time, deployment frequency, MTTR) to systematically identify and automate away execution bottlenecks.
• Pragmatic Innovator: Balances cutting-edge AI experimentation with enterprise-grade stability, security, and scalability requirements.
• Success Measures Within the first 12 months, this technical leader will: Architect & Deploy Agentic Workflows: Deliver production-ready Agentic AI modules that automate key planning, tracking, and prioritization tasks across R&D teams.
• Standardize AI Engine Integration: Establish a reusable technical framework and API layer for embedding AI agents into existing ValueOps and developer toolchains.
• Drive Productivity Metrics: Achieve a measurable improvement in R&D velocity, lead time, and planning overhead through automated intelligence and system integration.
• Elevate Technical Capability: Author key architecture blueprints and mentor R&D teams on best practices for building scalable, reliable AI-driven enterprise applications.
• 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.
• 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.