System Software Engineer - GPU/SoC Profiling at NVIDIA

Bengaluru, Karnataka, India

Apply Now

Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Gaming, Deep Learning, Automotive, Embedded, High Performance ComputingIndustries

Requirements

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

Responsibilities

Work with multi-disciplinary teams to design, implement, and verify performance metrics and collection methodologies for NVIDIA GPUs, Video, Vision and many other accelerators
Work on developing and improving methodologies for profiling data collection from GPUs/SoCs
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
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

Skills

Key technologies and capabilities for this role

CC++CUDAOpenCLOpenGLDirect3DVulkanARMGPUPCIeInfiniBandDevice DriversSystem SoftwareComputer ArchitectureOperating Systems

Questions & Answers

Common questions about this position

What qualifications and experience are required for this System Software Engineer role?

Candidates need a B.Tech. in EE/CS or equivalent with 2+ years of work experience, or M.Tech. with 1+ years, or Ph.D. Required skills include strong programming in C, C++, scripting languages, knowledge of Computer Architecture (preferably ARM CPUs/SoCs or GPUs), sound Operating Systems fundamentals, and knowledge of hardware-software co-design principles.

What are some ways to stand out as a candidate for this position?

Experience in device drivers or system software, knowledge of GPU APIs like CUDA, OpenCL, OpenGL, Direct3D, Vulkan, communication bus protocols such as AMBA, PCIe, InfiniBand, prior experience authoring developer tools for GPUs or SoCs, and knowledge of hardware performance counters will help you stand out.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require working from an office?

This information is not specified in the job description.

What is the company culture like at NVIDIA?

NVIDIA has some of the most motivated people in the world, values creative and self-driven individuals, fosters a diverse work environment, and is committed to being an equal opportunity employer without discrimination.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

Land your dream remote job 3x faster with AI

Try Jobo Free