Requirements

Currently enrolled in a BSc, PhD, or Masters program in Computer Science, Electrical Engineering, Computer Engineering, or an equivalent degree.
Experience with software engineering tools, methods, and the performance optimization process.
Experience in GPU/CPU/SoC architecture and micro-architecture, or performance analysis with an emphasis on hardware/software co-design.
Proficiency in C/C++ family programming languages, and scripting languages such as Python.
Knowledge and experience with well-known performance benchmarks and workloads.
Coursework focusing on software and algorithm performance, and/or performance analysis tools.
English language fluency is required.

Preferred Qualifications

Work on the analysis of existing and new workloads to identify performance bottlenecks in hardware and/or software.
Address performance limitations in application software and deliver prototypes of software tools for performance characterization.
Collaborate with colleagues on lower-level implementation details in a dynamic, collaborative environment.
Be a hands-on, enthusiastic, self-motivated developer with strong initiative and desire to succeed in a challenging environment.