AI Engineer

Marvell Technology • Santa Clara, CA

6d

About The Position

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.

Requirements

• 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.

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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees