Principal System Architect

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering or related fields and 10-15 years of related professional experience.
• Master's degree and/or PhD in Computer Science, Electrical Engineering or related fields with 5-10 years of experience.
• 10 years of hands on experience with scalability, and performance, including hardware-software co-optimization (GPUs/NPUs) for AI inference/training.
• Extensive knowledge and working experience with scale-up and scale-out infrastructure.
• 5+ years of experience as a Software Architect or Systems Architect; Within that, strong experience as a Software Developer.
• Deep knowledge of and experience with NVIDIA CUDA and Python
• Hands-on AI inference or training experience.
• Ability to work on multiple tasks concurrently
• Direct customer interaction and involvement
• Project or time management skills
• Excellent critical thinking skills and problem-solving abilities.
• Excellent written and verbal skills
• Fluency (conversational and/or technical) in English
• Excellent team-work skills able to work independently with minimal supervision.
• Expected Base Pay Range (USD)
• 166,520 - 249,500, $ 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
• 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.

Benefits

Additional Information

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 The Principal System Architect will be a key contributor to driving memory scale-up infra for CPU as well as GPU to unlock memory wall problems for AI interface/training. The memory wall causes increased energy costs, slower training times, higher inference latency, and limits on the maximum size of AI models. What You Can Expect Leading architecture for data center SuperPod AI Infrastructure to meet customer requirement. Designing state-of-the-art system architecture for CXL & PCIE & UALink scale up fabric Building end-to-end solutions from application level to hardware level for scalability and performance optimization. Benchmark system performance and identify the bottleneck for the improvement. Writing effective, clear and reliable architecture specifications Evaluating new technologies, innovating and rapidly developing proof of concept prototypes that can then be developed into full-fledged products/solutions Working with customers on advanced and groundbreaking technologies and solutions

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