Intern - Machine Learning Engineering
Core
Research emerging AI workloads, evaluate future memory and storage architectures, and analyze system requirements to shape next-generation computing platforms.
Role type
Intern, Machine Learning Engineering (AI/ML & Memory Systems)
Builds
Analytical models, simulations, benchmarks, and tools for evaluating memory and storage concepts.
Domain
Semiconductor industry, AI/ML, High-Performance Computing, Memory Systems
Deliverable
research
Required skills
Computer architecture, Machine learning, Artificial intelligence, High-performance computing, Python, PyTorch, TensorFlow, JAX
Preferred skills
Memory systems, Caching, DRAM technologies, Performance analysis, Benchmarking, GPU computing, Heterogeneous computing, AI model architectures
Technologies
PyTorch, TensorFlow, JAX, CPUs, GPUs, Accelerators
Responsibilities
Research emerging AI models and computing architectures; Analyze tradeoffs between performance, power, cost, and scalability; Develop models and simulations to evaluate new technologies; Characterize AI workloads on various computing platforms; Collaborate with architects to assess new technologies and support proof-of-concept evaluations.
