Systems Software Engineer, GPU SW at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Semiconductors, Gaming, AIIndustries

Requirements

BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience)
Strong C programming skills as well as having shown initiative in pursuing independent coding projects
Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.)
Kernel experience with Linux, Android, Chrome, or Windows systems
3+ years of relevant software development experience

Responsibilities

Define, design, develop and verify features for our GPUs; collaborating with hardware engineers and fellow software engineers
Follow the devices all the way through the development process to the customer desktops, notebooks, workstations, and gaming console products that are used throughout the world
Heavily involved with the early modeling and simulation required to produce our world-class products
Multiple opportunities to collaborate and communicate effectively with teams from all around the globe

Skills

Key technologies and capabilities for this role

CLinux KernelAndroidWindows KernelChrome OSSystem ArchitectureMicroprocessorsCachesBusesMemory ControllersDMAGPU DriversEmbedded Software

Questions & Answers

Common questions about this position

What is the base salary range for this position?

The base salary range is 120,000 USD - 235,750 USD, determined based on location, experience, and the pay of employees.

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

This information is not specified in the job description.

What are the required skills for this Systems Software Engineer role?

Candidates need a BS or MS in Computer Engineering, Computer Science or related, strong C programming skills with independent projects, familiarity with computer system architecture (caches, buses, etc.), kernel experience with Linux, Android, Chrome or Windows, and 3+ years of relevant software development experience.

What is the company culture like at NVIDIA?

NVIDIA has forward-thinking and hardworking people, values creative, passionate, and self-motivated individuals, and offers an environment with sophisticated software and hardware designs and global collaboration.

What makes a candidate stand out for this role?

Stand out with background in complex system-level debugging, deep understanding of memory management and virtualization (XenServer, KVM, Hyper-V), familiarity with kernel level security, and experience with embedded system SW like RTOS and overlay programming.

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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