Intern - Machine Learning Engineering

Micron • Richardson, TX

1d

About The Position

The intern will join Micron Technology’s Storage and Memory Systems (SMS) Pathfinding team, which explores future memory and storage technologies for next-generation AI, high-performance computing, and data-centric systems. The team studies emerging AI workloads, system architectures, and memory technologies to help define future computing platforms and memory solutions.

The intern will research emerging AI workloads, evaluate future memory and storage architectures, and analyze how changing system requirements affect next-generation technologies. Working with architects, researchers, and engineers, the intern will model, benchmark, and assess concepts that inform Micron’s long-term memory and storage roadmap.

Requirements

• Have 0–2 years of relevant experience through internships, research projects, academic coursework, or technical projects in computer architecture, AI/ML, high-performance computing, or memory systems.
• Be currently pursuing a bachelor's, master's, or PhD degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.
• Have a strong understanding of computer architecture, machine learning, artificial intelligence, or high-performance computing concepts.
• Have experience with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, JAX, or similar technologies.
• Have strong analytical, problem-solving, communication, and collaboration skills.

Nice To Haves

• Knowledge of memory systems, caching, memory hierarchies, DRAM technologies, and system performance bottlenecks.
• Experience with performance analysis, benchmarking, profiling, simulation, or system modeling methodologies.
• Familiarity with GPU computing, accelerators, heterogeneous computing systems, or AI infrastructure.
• Understanding of AI model architectures, training workflows, inference systems, and workload characterization techniques.
• Experience applying AI-enabled tools and technologies to research, software development, data analysis, or engineering productivity workflows.

Responsibilities

• Research emerging AI models, workloads, and computing architectures to understand future memory and storage requirements.
• Analyze tradeoffs involving performance, power, cost, bandwidth, capacity, latency, and scalability across AI systems.
• Develop models, simulations, benchmarks, and analytical tools to evaluate next-generation memory and storage concepts.
• Characterize AI workloads running on CPUs, GPUs, accelerators, and memory-centric computing platforms.
• Collaborate with architects and engineers to assess new technologies, communicate findings, and support proof-of-concept evaluations.

Benefits

• Choice of medical, dental, and vision plans.
• Programs to help protect income in case of illness or injury.
• Paid family leave.
• Paid time off.
• Paid holidays.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern