System Software Engineer - GPU Profiling at NVIDIA

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

05 Oct, 26

Salary

0.0

Posted On

07 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C, C++, Python, Data Structures, Algorithms, Computer Architecture, Operating Systems, Software Design, Device Drivers, CUDA, OpenCL, OpenGL, Direct3D, Vulkan, GPU Profiling, Assembly Language

Industry

Computer Hardware Manufacturing

Description

At NVIDIA, we build groundbreaking products for the following sectors: Deep Learning, High Performance Computing, Gaming, VR, and Automotive. See your efforts in action as developers use your tools to debug, profile and analyze the performance of their systems/applications using the low-level library that you helped to craft as a member of the GPU Foundations Developer Tools team! Innovate as you develop the performance analysis capabilities of NVIDIA hardware along with the Nsight tools and the foundation library to support next generation accelerated computing at datacenter scale. As a system software engineer in the Developer Tools group, you will be developing software that empowers GPU application developers to build outstanding applications that are recognized world-wide. We are seeking a motivated Software Engineer to join our team and contribute to the performance triage development and co-design of our software libraries in collaboration with our Hardware Architecture team. Join our team and gain exciting opportunities to work hands-on at every layer of NVIDIA's outstanding technology. What you will be doing: Partner with multi-disciplinary teams to design, implement, and verify performance metrics for NVIDIA GPUs Work on developing and improving methodologies for profiling data collection from GPUs Define, invent, and improve our GPU profiling library with new features to allow NVIDIA's customers to extract the best performance out of their applications Read and understand HW specs to design solutions based on it Work on software unit level tests and framework ensuring the quality of the product Work on supporting a variety of platforms ranging from super-computers to embedded systems What we need to see: B.Tech. EE/CS or equivalent with 4+ years of experience, or M.Tech. with 2+ years of experience, or Ph.D. Strong programming ability in C, C++, Python with proficiency in Data Structures and Algorithms Solid understanding of Computer Architecture (e.g. x86, ARM CPUs, GPUs) and Operating System concepts Knowledge of SW design principles, as that's a key as we scale! Ways to stand out from the crowd: Experience in Device Drivers or System Software development Knowledge of GPU APIs such as CUDA, OpenCL, OpenGL, Direct3D, Vulkan Prior experience authoring developer tools, particularly for GPUs Experience in performance analysis of GPU applications Ability to read and write in Assembly language, especially for multi-processor architectures NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated and hard-working people in the world working with us. If the work described above excites you and you are up to the challenge, we want to hear from you. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people in multiple disciplines to help us accelerate the next wave of computing. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

Responsibilities

Design and implement performance metrics and profiling data collection methodologies for NVIDIA GPUs. Develop and improve the GPU profiling library to enable customers to optimize application performance.