GPU R&D Principal Engineer

What You ll Need:

• Bachelors, Masters, or Ph.D. in Computer Science or a related field.
• At least 8 years of experience in GPU optimization and implementation.
• Advanced knowledge of CUDA or similar technologies.
• Proficiency in C/C++, Python, and distributed computing environments.
• Strong understanding of algorithms and data structures.