Senior Systems Software Engineer – GPU Software at NVIDIA

Santa Clara, California, United States

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$184,000 – $356,500Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High-Performance Computing, Gaming, DatacenterIndustries

Requirements

BS or MS degree in Computer Engineering, Computer Science, or a related field (or equivalent experience)
10+ years of relevant software development experience
Proven leadership skills and strong ownership of past projects
Exceptional C programming skills and low-level driver experience
Expertise in complex system-level debugging
Kernel experience with Linux, Android, Chrome, or Windows systems
Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.)

Responsibilities

Design, develop, and verify features for the next-generation GPU driver architecture
Collaborate with hardware and software engineers
Identify and solve performance bottlenecks in the driver, considering both datacenter and gaming markets
Collaborate and communicate effectively with global teams

Skills

Key technologies and capabilities for this role

CLinux KernelAndroid KernelWindows KernelGPU DriversSystem DebuggingComputer ArchitectureMicroprocessorsMicrocontrollersCachesBusesMemory ControllersDMAKVMHyper-VRTOS

Questions & Answers

Common questions about this position

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

The base salary range is $184,000 - $356,500 USD.

Is this role remote, hybrid, or onsite?

This information is not specified in the job description, though it notes '(Not specified - likely Hybrid or Onsite)'.

What technical skills are required for this position?

Required skills include exceptional C programming and low-level driver experience, expertise in complex system-level debugging, kernel experience with Linux, Android, Chrome, or Windows, and familiarity with computer system architecture fundamentals like caches, buses, memory controllers, and DMA.

What is the company culture like at NVIDIA?

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.

What makes a candidate stand out for this role?

Candidates stand out with experience as a maintainer or contributor to large open source software projects, knowledge of virtualization platforms like XenServer, KVM, or Hyper-V, familiarity with kernel-level security concepts, and experience with embedded system software concepts.

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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