AI Developer Platforms (Security) job opportunity at Marvell Technology, Inc..

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DatePosted 5 Days Ago bot
Marvell Technology, Inc. AI Developer Platforms (Security)
Experience: 10-years
Pattern: full-time
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loacation Hyderabad, India
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About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.  At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.  Your Team, Your Impact Liquid Security Team part of Marvell MBE team (Multi Market Business group) primarily focuses on developing high quality software for HSM adapters deployed in leading Hyperscalers like Microsoft, AWS and many other customers. We are an ambitious team within a multi-site, multi-cultural company. Marvell develops challenging products and a unique high tech environment that encourages continued learning and growth. We are looking for technology passionate engineers with focus on execution and quality to help innovate and develop highly scalable software What You Can Expect AI Workflow Design – Design and implement AI/LLM-assisted workflows to improve productivity across HSM and secure systems development. LLM Agent Development – Build and maintain custom AI agents for code comprehension, refactoring assistance, test generation, and documentation. Developer Tooling Integration – Integrate AI/LLM tools into existing development, CI/CD, and code review pipelines. Model & Tool Evaluation – Evaluate and benchmark LLM models and AI tools for accuracy, usefulness, cost, and risk in security-critical environments. Secure AI Enablement – Define guardrails and best practices to ensure safe AI usage with no exposure of sensitive code, keys, or IP. Workflow Automation – Develop internal utilities for prompt orchestration, agent pipelines, retrieval-augmented workflows, and result validation. Collaboration & Enablement – Work closely with HSM, firmware, kernel, and security teams to align AI tooling with real engineering needs. Knowledge Capture – Generate and maintain internal documentation, usage guides, and examples for AI-assisted engineering workflows. Continuous Improvement – Collect feedback from users and iteratively improve AI agents, prompts, and automation frameworks. What We're Looking For 5–10 years of professional experience in software engineering, developer tooling, or platform engineering. Hands-on experience using and integrating AI/LLM tools into real engineering workflows (code assistance, automation, or analysis). Strong programming skills in one or more of Python, C, C++, or Rust, with the ability to build production-quality tooling. Experience designing and implementing automation frameworks, internal tools, or developer productivity platforms. Practical experience building or orchestrating LLM agents, prompt pipelines, or workflow automation. Understanding of CI/CD systems, code review processes, and modern development workflows. Ability to evaluate AI tools and models for accuracy, reliability, and operational risk, especially in critical software environments. Strong judgment around security, correctness, and data handling when applying AI to engineering workflows. Experience working with large, complex, or legacy codebases. Excellent communication skills to train, enable, and support engineering teams in adopting new tools. Ability to work cross-functionally with security, systems, and architecture teams. Familiarity with secure or infrastructure software environments (preferred but not mandatory). Preferred skills Working knowledge of cryptographic standards and protocols such as PKCS#11, TLS, SSH, SPDM, or TPM. Experience in HSM, confidential computing, or hyperscale-scale security platforms. Exposure to governance, compliance, or secure development lifecycle (SDLC) practices. Additional Compensation and Benefit Elements With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our Careers page. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Interview Integrity  To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process. This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment. #LI-RS1

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