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System Engineer - C/C++ Programming - NVIDIA GPU & CUDA Stack Development Job Opening In Bengaluru – Now Hiring Frequency.cx

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

    India Jobs Expertini Expertini India Jobs Bengaluru Engineers System Engineer C/c++ Programming Nvidia Gpu & Cuda Stack Development

Job description

<p><p><b>Role Overview :</b><br/><br/>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.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, develop, and optimize GPU kernel drivers and integrations with the NVIDIA CUDA stack.<br/><br/>- Work on CUDA memory management, including unified memory frameworks and efficient GPU memory access.<br/><br/>- Implement and fine-tune GPU CUDA kernel task execution for performance and scalability.<br/><br/>- Debug, profile, and optimize low-level GPU interactions to ensure reliability and efficiency.<br/><br/>- Collaborate with platform, infrastructure, and API engineering teams to integrate GPU system capabilities into the broader Hosted.ai platform.<br/><br/>- 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.<br/><br/>- Proficiency in C/C++ programming for low-level systems and kernel development.<br/><br/></p><p>Hands-on experience with :<br/><br/>- GPU kernel drivers and CUDA integration<br/><br/>- Memory access, allocation, and unified memory frameworks<br/><br/>- GPU task scheduling and CUDA kernel execution flows<br/><br/>- Strong debugging, profiling, and performance optimization skills for GPU workloads.<br/><br/>- Solid understanding of Linux kernel internals and system-level programming.<br/><br/>- Ability to work in cross-functional teams and contribute to highly complex system design discussions.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Engineers


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