Senior Systems Software Engineer - Linux Kernel Drivers at NVIDIA

Pune, Maharashtra, India

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, SemiconductorsIndustries

Requirements

  • 5+ years of hands-on experience in writing and debugging kernel-mode drivers on X86/AMD64 platforms
  • Excellent programming skills, proficiency in C/C++ language, libraries, and toolchains
  • Detailed knowledge of Linux kernel internals and low-level system programming
  • Strong written and verbal communication skills, with excellent 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

Responsibilities

  • Improving existing software by debugging, analyzing, and providing solutions to complex issues, particularly in areas like display technologies and power management
  • Designing, developing, unit testing, documenting, and maintaining new features for the kernel-mode drivers
  • Collaborating with a multi-site project team to tackle a variety of problems impacting NVIDIA’s end users and partner OEMs

Skills

Key technologies and capabilities for this role

CC++Linux KernelKernel DriversX86AMD64ARMRTOSDevice DriversEmbedded SystemsDebuggingPower ManagementDisplay Technologies

Questions & Answers

Common questions about this position

What is the salary for this Senior Systems Software Engineer position?

This information is not specified in the job description.

Is this role remote or hybrid, and where is it located?

The position is hybrid.

What skills and experience are required for this role?

Candidates need 5+ years of hands-on experience in writing and debugging kernel-mode drivers on X86/AMD64 platforms, proficiency in C/C++, detailed knowledge of Linux kernel internals and low-level system programming, strong communication skills, experience with unreleased hardware, and a Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or related field.

What is the company culture like at NVIDIA?

NVIDIA is widely considered one of the world’s most desirable employers with forward-thinking and hardworking people. They value creativity and passion for new technology.

What makes a candidate stand out for this position?

Stand out with experience in device driver development for ARM SOC platforms, background in embedded system SW concepts like RTOS and overlay programming models, contributions to upstream projects, and passion for the work.

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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