System Engineer

17 hours ago


Bengaluru, Karnataka, India Frequency Full time

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 :

- GPU kernel drivers and CUDA integration

- Memory access, allocation, and unified memory frameworks

- GPU task scheduling and CUDA kernel execution flows

- Strong debugging, profiling, and performance optimization skills for GPU workloads.

- Solid understanding of Linux kernel internals and system-level programming.

- Ability to work in cross-functional teams and contribute to highly complex system design discussions.

(ref:hirist.tech)

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