About Marvell
Marvells 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 worlds 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 Marvells 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 Were Looking For
Required Qualifications
- Bachelors 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)
89360 - 133900 $ per annumThe successful candidates 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 lifes 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 .
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-LM1Required Experience:
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Designed for your current needs and future ambitions, Marvell delivers the data infrastructure technology transforming tomorrow’s enterprise, cloud, automotive, and carrier architectures for the better.