Senior System Software Engineer, Base OS Kernel

United Kingdom

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Computer Hardware, Artificial Intelligence, High-Performance ComputingIndustries

Requirements

Candidates must possess a BS or Master's degree in computer science or a related field, or equivalent experience, with over 8 years of relevant experience. Essential skills include excellent C and Python programming, familiarity with major Linux distributions (Ubuntu, RedHat, SLES), and direct experience with Confidential Computing technologies like Intel TDX and TDISP, or ARM CCA. A strong understanding of OS concepts such as filesystems, job scheduling, device drivers, and storage is also required, along with excellent communication and planning skills. Experience with complex system-level debugging is invaluable, and a background in PCIe, USB, UEFI, BMC firmware, and virtualization (device passthrough, SR-IOV) is highly favored.

Responsibilities

The Senior System Software Engineer will enable Confidential Computing features on NVIDIA Vera Superchips for enterprise customers. This involves working closely with internal teams and the Linux community to facilitate these features and partnering with Tier-1 enterprise customers to ensure successful deployment of NVIDIA Vera platforms.

Skills

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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