Intern, Computer Architecture

What you'll do

• Execute projects that have a measurable impact on the company's business goals.
• Develop and optimize high-performance computing systems and memory architectures.
• Design and implement GPU or CPU architectures for accelerated computing.
• Perform modeling and performance analysis for deep learning and parallel programming.
• Develop hardware control programming and GPU acceleration using CUDA or OpenCL.
• Write low-level code in Verilog, SystemVerilog, VHDL, C, C++, or Python.
• Utilize modern graphics APIs such as DirectX, OpenGL, or Vulkan for system design.
• Manage source code and versioning using tools like Perforce or Git.

What we're looking for

• Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field.
• Resume must clearly indicate the anticipated graduation date (month and year).
• Experience in areas such as Computer Graphics, Deep Learning, Ray Tracing, Parallel Programming, Memory Architecture, or High-Performance Computing Systems.
• Knowledge of Digital Systems, VLSI Design, GPU/CPU Architecture, Computer Arithmetic, CMOS Transistors, or Computer Organization.
• Experience with modeling and performance analysis, hardware control programming, GPU acceleration, or embedded systems.
• Proficiency in programming languages such as Verilog, SystemVerilog, VHDL, CUDA, Linux, C, C++, Python, or Perl.
• Familiarity with Modern Graphics APIs (DirectX, OpenGL, Vulkan) or GPU Computing (CUDA, OpenCL).
• Experience with Revision Control (Perforce, Git) or HPC (MPI, OpenMP).