System Software Engineer - GPU/SoC Profiling

Overview

About the job:

Key responsibilities:

1. Work with multi-disciplinary teams to design, implement, and verify performance metrics and collection methodologies for NVIDIA GPUs, Video, Vision and many other accelerators
2. Work on developing and improving methodologies for profiling data collection from GPUs / SoCs
3. Define, invent, and improve our profiling library with new features to allow NVIDIA's customers to extract the best performance out of their code base
4. Read and understand HW specs to design solutions based on it
5. Work on software unit level tests and framework ensuring the quality of the product

Who can apply:

Only those candidates can apply who:

1. have minimum 2 years of experience
2. are Computer Science Engineering students

Salary:

Competitive salary

Experience:

2 year(s)

Deadline:

2025-10-22 23:59:59

Skills required:

C Programming, C++ Programming, Operating Systems and Software Development Life Cycle (SDLC)

Other Requirements:

- B.Tech. EE/CS or equivalent with 2+ years of work experience or M.Tech. with 1+ years experience, or Ph.D.

- Experience in Device drivers or System software

- Knowledge of GPU API's such as: CUDA, OpenCL, OpenGL, Direct3D, Vulkan

- Knowledge of communication bus protocols (AMBA, PCIe, InfiniBand or others)

- Prior experience authoring developer tools, particularly for GPUs or SoCs

- Knowledge of hardware performance counters and usage in performance optimizations

- Strong programming ability in C, C++, scripting languages

- Knowledge of Computer Architecture (preferably ARM CPUs/ SoCs or GPUs)

- Sound Operating Systems fundamentals

- Knowledge of hardware-software co-design principles and practices

About Company:

Nvidia, founded in 1993 and headquartered in Santa Clara, California, is a global leader in graphics processing units (GPUs) and AI computing. With a market capitalization exceeding $2 trillion in 2024, Nvidia dominates AI, gaming, and data center technologies. In India, Nvidia collaborates with research institutions and businesses to accelerate AI adoption, deep learning, and cloud computing. Its innovations in autonomous vehicles, supercomputing, and AI chips make it one of the most influential technology firms shaping the future of computing.