System Engineer - C / C++ Programming - NVIDIA GPU & CUDA Stack Development

Role Overview :

We are seeking an experienced System Engineer (67 years) with strong expertise in C programming, NVIDIA GPU development, and CUDA stack integration. This role involves working on GPU kernel drivers, CUDA stack management, memory frameworks, and kernel task execution to optimize GPU performance for large-scale AI infrastructure. The ideal candidate will have deep hands-on experience in NVIDIA GPU engineering and low-level system programming.

Key Responsibilities :

• Design, develop, and optimize GPU kernel drivers and integrations with the NVIDIA CUDA stack.
• Work on CUDA memory management, including unified memory frameworks and efficient GPU memory access.
• Implement and fine-tune GPU CUDA kernel task execution for performance and scalability.
• Debug, profile, and optimize low-level GPU interactions to ensure reliability and efficiency.
• Collaborate with platform, infrastructure, and API engineering teams to integrate GPU system capabilities into the broader Hosted.ai platform.
• Stay updated with NVIDIA GPU advancements, driver updates, and CUDA releases to continuously enhance platform 67 years of engineering experience with strong focus on NVIDIA GPU and CUDA stack development.
• Proficiency in C / C++ programming for low-level systems and kernel development.

Hands-on experience with :

(ref : hirist.tech)