CPU/AI Workload Analysis Intern

Tenstorrent University Jobs•Santa Clara, CA

12h•Hybrid

About The Position

As a CPU Performance Architect Intern at Tenstorrent, you will join a team of world-class CPU designers and performance architects to shape the future of high-performance computing. You will research emerging CPU workloads, analyze their impact on next-generation CPUs, accelerators, and build innovative solutions that maximize hardware performance. This role is on-site, based in our Santa Clara, CA office. We may also consider remote candidates on a case-by-case basis.

Requirements

Currently pursuing a Ph.D. in Computer Architecture, Parallel Computing Artificial Intelligence/ Machine Learning, or a related field, with a strong publication record.
Strong foundation in computer organization, computer architecture, parallel computation and digital logic design.
Hands-on with Linux, performance and power profiling tools, Silicon PMU profiling, and hardware performance counters.
Proficient in Shell scripting, Python, and C++, with experience in PyTorch, benchmarking, and targeted microbenchmarks.
Strong familiarity with modern AI productivity workflows, with the ability to effectively use AI tools.

Responsibilities

Conduct deep research into cutting-edge CPU application trends, workload characterization, and advanced performance and power modeling techniques.
Build robust profiling, automation, and visualization tools that accelerate workload analysis and streamline production workflows.
Identify microarchitectural bottlenecks, reduce workloads for efficient simulation, and leverage hardware-software co-design principles to propose hardware-aware optimizations.
Enable and optimize critical CPU workloads, utilizing advanced parallel computation techniques to unlock the full potential of Tenstorrent hardware and contribute novel research or patentable ideas.