AI/ML Memory Solutions Research Intern - Remote

Overview

This internship offers an opportunity to work on innovative memory solutions for AI/ML workloads, collaborating with a team of researchers to push the boundaries of technology.

In Short

• Collaborate with MSL teammates on AI/ML workload solutions.
• Research innovative memory solutions.
• Performance profiling of GPU/Accelerator systems.
• Characterize device performance and architecture trade-offs.
• Design simulation models for new architecture solutions.
• Generate research patents and publications.
• Complete other assigned responsibilities.
• Pursuing a PhD in Computer Science or Electrical Engineering.
• Hands-on experience with CPU/GPU server hardware.
• Inclusive and collaborative work style.

Requirements

• Pursuing PhD in CS/ECE.
• At least 1 academic quarter/semester remaining.
• Knowledge of C/C++, AI/ML frameworks.
• Experience with CPU/GPU server hardware.
• Preferred skills in SW/HW co-design and FPGA acceleration.
• Inclusive and adaptable work style.
• Avid learner with curiosity and resilience.
• Collaborative and supportive team player.
• Innovative and creative problem solver.

Benefits

• Relocation support for those living 50+ miles away.
• Housing stipend for summer internships.
• Charitable giving match and community involvement opportunities.
• Emotional wellness support with paid therapy sessions.
• Onsite café and gym, plus virtual fitness classes.
• Flexible work environment to balance personal needs.