Senior Systems Software Engineer - Linux Kernel Drivers at NVIDIA

Pune, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorsIndustries

Requirements

Strong software engineering skills combined with a dedication to tackling hard problems
7+ years of hands-on experience in writing and debugging kernel mode drivers on X86/AMD64 platforms
Excellent programming skills and proficiency in C/C++ language, libraries, and toolchains
Detailed knowledge of Linux kernel internals and low-level system programming
Good written and verbal communication skills, along with strong collaborative and networking abilities
Experience working on unreleased hardware platforms
Bachelor's or Master's degree (or equivalent experience) in Computer Engineering, Computer Science, or a related field
Ways to stand out
Experience with device driver development for ARM SOC platforms
Background in embedded system software concepts, such as RTOS and overlay programming models
Contributions to upstream projects
A passion for what you do

Responsibilities

Improve existing software by debugging, analyzing, and providing solutions to complex issues in areas such as display technologies and power management
Design, develop, unit test, document, and maintain features for kernel mode drivers
Collaborate with forward-thinking and motivated engineers around the world as an equal member of a multi-site project team
Tackle a variety of problems that directly impact NVIDIA’s end users and partner OEMs
Work closely with the GPU Resource Manager Kernel driver to improve visual computing experiences

Skills

Key technologies and capabilities for this role

Linux KernelKernel Driversx86AMD64Kernel Mode DriversDebuggingPower ManagementDisplay TechnologiesGPU Software

Questions & Answers

Common questions about this position

What experience level is required for this Senior Systems Software Engineer role?

The role requires 7+ years of hands-on experience in writing and debugging kernel mode drivers on X86/AMD64 platforms.

What programming skills are needed for this position?

Excellent programming skills and proficiency in C/C++ language, libraries, and toolchains are required, along with detailed knowledge of Linux kernel internals and low-level system programming.

What is the salary for this role?

This information is not specified in the job description.

Is this a remote position, or what is the location requirement?

This information is not specified in the job description.

What does NVIDIA's company culture look like for this team?

NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work, with collaboration among forward-thinking engineers around the world as part of a multi-site project team.

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.

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