The Job logo

What

Where

System Software Engineer - GPU

ApplyJoin for More Updates

You must Sign In before continuing to the company website to apply.

Smart SummaryPowered by Roshi
As a System Software Engineer working on GPU, you will be involved in the full product life cycle of GPU, designing, developing, building, and enhancing the GPU System software. You will collaborate with various teams to influence the functionality of next-generation GPUs. Additionally, you will be responsible for debugging complex issues in NVIDIA's GPU Resource Manager driver stack, mentor engineers, and deliver high-quality work. This is an on-site full-time opportunity based in Pune, Maharashtra, India.

Job description 

What you'll be doing:

Work on complete Product life cycle of GPU and in process design, develop build and improve GPU System software.

Partner with Software, Hardware and Architecture teams to influence functionality of next generation GPU, one of the best in the world.

Triage and debug the complex issues in NVIDIA's GPU Resource Manager driver stack.

Collaborate with other specialists within and across groups while handling key responsibilities.

Required to lead and mentor engineers.

 

What we need to see:

Bachelors or Master’s degree in Computer/Electronics engineering or equivalent experience.

2+ years of Industry experience.

Excellent C programming skills and data structure knowledge.

Excellent debugging and problem-solving skills.

You have strong experience in system software, device drivers, IPC, Synchronization, OS fundamentals and experience in building embedded products.

Strong interpersonal skills and passion to learn new technology.

Phenomenal teammate, Ability to work with various teams SW, HW, QA, etc distributed across the globe to deliver solution.

Ability to handle multiple tasks while ensuring a high quality of work.

Experience of technically lead and delivered projects.

Strong debugging skills in Windows, Linux or real-time OS environment.

 

Ways to stand out from the crowd:

Deep understanding of systems architecture: CPU, GPU, memory, display, buses, kernel internals would be helpful.

Exposure to Power/Performance improvement of embedded system.

Expert in Windows Device driver arch and knowledge of GPU driver architecture.

Experience on pre-silicon environment.

Deep knowledge in Safety certifying modules/device drivers.

Set alert for similar jobsSystem Software Engineer - GPU role in Pune, India
NVIDIA Logo

Company

NVIDIA

Job Posted

5 months ago

Job Type

Full-time

WorkMode

On-site

Experience Level

3-7 Years

Category

Software Engineering

Locations

Pune, Maharashtra, India

Qualification

Bachelor or Master

Applicants

Be an early applicant

Related Jobs

NVIDIA Logo

System Software Engineer - GPU Profiling

NVIDIA

Pune, Maharashtra, India

Posted: a year ago

Work with multi-disciplinary teams to design, implement, and verify performance metrics and collection methodologies for NVIDIA GPUs. Innovate and improve our GPU profiling library with new features to allow developers to extract the best performance out of their applications. Understand and use the NVIDIA GPU performance monitoring system. Develop features for new tools for GPUs running on a variety of platforms ranging from embedded systems to supercomputers.

NVIDIA Logo

Senior System Software Engineer, DirectML - GPU

NVIDIA

Pune, Maharashtra, India

Posted: a year ago

What you’ll be doing : Collaborate with cross-functional teams to understand requirements and contribute to the design and architecture of NVIDIA DirectML drivers. Develop and implement high-quality, efficient, and reliable NVIDIA DirectML drivers following the best software development practices adhering to industry standards. Identify and resolve performance bottlenecks for cutting-edge deep learning models in computer vision, generative AI, and other related fields. Debug and resolve driver-related issues to ensure smooth functionality across multiple GPU architectures and platforms. Collaborate with Microsoft to drive the advancements in ONNX and DML runtimes and ensure seamless integration with NVIDIA DirectML driver. Build and contribute to performance profiling tools that improves the efficiency of the performance analysis workflow. Ensure the effective deployment of essential directed tests and models through collaboration with the automation team, thereby ensuring the robustness of automated testing.   What we need to see : Bachelor's, Master's, or PhD in Electrical Engineering, Computer Science/Engineering, Mathematics, Physics, or a related field (or equivalent experience). 5+ years of industry experience with proficiency in developing and optimizing DirectML drivers or similar graphics and machine learning drivers such as DirectX, Vulkan, or CUDA. Familiarity with GPU hardware architecture, shader programming, and parallel processing techniques. Excellent C++ programming and debugging skills with a strong understanding of data structures and algorithms. Familiarity with deep learning frameworks such as PyTorch and TensorFlow and exposure to large language models and transformer architectures. Strong analytical and problem-solving abilities, with the capacity to multitask effectively in a multifaceted environment. Outstanding written and oral communication skills, enabling effective collaboration with management and engineering teams.

NVIDIA Logo

Senior System Software Engineer - GPU and SoC Profiling

NVIDIA

Pune, Maharashtra, India

Posted: a year ago

What you’ll be doing: Work with multi-disciplinary teams to design, implement, and verify performance metrics and collection methodologies for NVIDIA GPUs/SoCs. Invent and improve our GPU/SoC profiling library with new features to allow developers to extract the best performance out of their applications. Understand and use the NVIDIA GPU/SoC performance monitoring system Get an opportunity to develop new tools for GPUs/SoCs running on several platforms.   What we need to see: B.S. EE/CS or equivalent with 4+ years of work experience or MS with 2+ years experience, or Ph.D. Strong programming ability in C, C++. Knowledge of computer architecture (preferably ARM CPUs/ SoCs or GPUs) Solid understanding of hardware pipeline concepts, with a willingness to work at a detailed implementation level Experience working in device drivers, embedded systems, or other low level library development   Ways to stand out from the crowd: Background including shipping device drivers or system software Knowledge of GPU API's such as: CUDA, OpenCL, OpenGL, Direct3D, Vulkan Prior experience authoring developer tools, particularly for GPUs or SoCs Experience in performance analysis, particularly of embedded system applications You have worked on computer algorithms and proven ability to choose the best possible algorithms to nail complex problems Knowledge or experience in compute architecture, operating systems, and compilers.