AI Engineer

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

Marvell develops silicon and software for some of the world’s largest companies in the rapidly growing data center, AI, and enterprise markets. If a bit is being processed, moved, secured, or stored in infrastructure equipment, it is likely that Marvell’s products are involved.

What You Can Expect

About the Role

We are looking for a full-time AI Engineer to join our AI team and help build next-generation AI solutions, tools, and infrastructure across Software and Firmware teams. This is a hands-on engineering role ideal for someone early in their career who has strong academic foundations, AI/ML project experience, and internships involving AI/ML, computer engineering, or system performance optimization.

You will work on applied AI systems such as RAG workflows, multi-agent pipelines, inference acceleration, AI infrastructure, and hardware/software co-design.

Key Responsibilities

AI/ML Engineering

• Develop and evaluate ML models - including LLM-based, multimodal, classical ML approaches.

• Build components of RAG systems, multi-agent workflows, and applied AI pipelines.

• Implement preprocessing, feature extraction, vectorization, semantic search, and model evaluation tools.

AI Systems & Platform Development

• Contribute to internal AI platforms for model serving, acceleration, and orchestration.

• Integrate AI workloads into scalable pipelines on GPUs and distributed systems.

• Support adoption of AI capabilities across internal teams through tools, APIs, and automation.

Performance & Optimization

• Profile and optimize AI workloads using CPU, GPU, and hardware acceleration techniques.

• Assist in evaluating inference latency, throughput, and efficiency across hardware/software stacks.

• Apply knowledge of computer architecture to improve model execution and utilization.

Software Engineering

• Write production-quality code in Python, C/C++, and supporting languages.

• Build internal tools, pipelines, APIs, and services that make AI easier to use across teams.

• Collaborate closely with data, infrastructure, and product partners.

Applied Research & Innovation

• Stay current on new AI techniques, including retrieval, agentic workflows, compression, distillation.

• Prototype concepts quickly and transition successful prototypes into production-ready solutions.

What We're Looking For

Required Qualifications

- Bachelor’s degree in Computer Engineering/Science, Electrical Engineering, or related field.

- Experience with AI/ML frameworks such as PyTorch or TensorFlow.

- Strong programming skills in Python and C/C++.

- Hands-on project or experience in at least one of the following:

• RAG systems, LLMs, language model pipelines

• GPU programming, CUDA, or hardware-accelerated ML

• OCR/computer vision, multimodal AI, or NLP

• Performance profiling of AI workloads

• IoT + AI embedded systems

- Solid understanding of computer architecture, data structures, and algorithms.

- Ability to learn quickly, work collaboratively, and communicate effectively.

Expected Base Pay Range (USD)

89,360 - 133,900, $ per annum

The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.

Additional Compensation and Benefit Elements 

Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life’s most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.

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.

Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.

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.

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