NVIDIA is hiring highly talented computer science students to join the Compute Developer Technology team and explore GPU-accelerated computing across deep learning, AI, and HPC. You will work on developing techniques to accelerate applications on modern GPU architectures with a focus on performance and scalability.
The role emphasizes collaboration with architecture, libraries, and tool teams and requires strong mathematical and programming foundations.
GPU Compute DevTech Intern: HPC & Parallelization employer: NVIDIA Corporation
NVIDIA stands out as an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration among talented professionals. With a strong commitment to diversity and inclusion, employees benefit from competitive salaries, comprehensive benefits, and ample opportunities for personal and professional growth, all while contributing to groundbreaking advancements in AI and technology. Joining NVIDIA means being part of a mission-driven team that values creativity and empowers individuals to make a significant impact in the tech industry.
