NVIDIA

Senior System Software Engineer, Base OS Kernel

United Kingdom

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Computer Hardware, Artificial Intelligence, High-Performance ComputingIndustries

About NVIDIA

NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We're looking to grow our company, and build our teams with the most resourceful people in the world. Join us at the forefront of technological advancement.

What you'll be doing

The NVIDIA Vera Superchips are the foundation for the next generation of AI and HPC platforms. Your role as a Base OS Kernel Engineer is to help enable Vera features for our enterprise customers.

  • Work closely with internal teams and the larger Linux community to enable Confidential Computing on Vera.
  • Partner with Tier-1 enterprise customers to ensure their successful deployment of NVIDIA Vera platforms!

What we need to see

  • BS or Masters in computer science, or related field or equivalent experience.
  • 8+ years of experience.
  • Excellent C and Python programming skills. Expertise in coding is crucial to your success in this role.
  • Familiarity with at least one major Linux distro (Ubuntu, RedHat, SLES) is required.
  • Direct experience working on Confidential Computing such, as Intel TDX and TDISP, or ARM CCA.
  • Knowledge of OS concepts such as filesystems, job scheduling, device drivers, and storage, is required.
  • Experience with complex system-level debugging is invaluable.
  • Excellent communication and planning skills.

Ways to stand out from the crowd

  • Background in PCIe, USB, and similar low level protocols is recommended.
  • Experience with UEFI and BMC firmware is strongly favored.
  • Having written software in GitHub with exposure to opensource development life cycle is desired.
  • Virtualization knowledge such as device passthrough and SR-IOV is another way to be highlighted.

About the Team

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Skills

C
Python
Linux
Confidential Computing
Intel TDX
TDISP
ARM CCA
Filesystems
Job Scheduling
Device Drivers
Storage
System-level Debugging
PCIe
USB
UEFI
BMC Firmware
GitHub
Open Source Development
Virtualization
Device Passthrough
SR-IOV

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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