Senior Systems Software Engineer, Linux and Containers at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Bachelor's or Master’s in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience)
At least 8 years of experience with Linux kernel internals, device drivers, and kernel debugging tools
Advanced understanding of container runtime architectures (e.g., Docker, containerd), namespaces, cgroups, and related Linux kernel features
Proficiency in diagnosing, fixing, and optimizing distributed systems and containers under real production constraints
Excellent problem-solving, communication, and prioritization skills; self-motivated and quick to master new technologies
Strong experience in setting up, maintaining, and automating continuous integration systems
Strong background in Cloud Computing and Distributed Software design and development
Understanding of performance, security, and reliability in complex distributed systems

Responsibilities

Perform advanced Linux kernel debugging using tools such as KGDB, kdb, and GDB; analyze and resolve kernel-level issues
Develop, optimize, and maintain container runtimes (e.g., Docker, containerd, CRI-O), ensuring secure and efficient orchestration
Collaborate with Linux and infrastructure teams to troubleshoot device drivers, system calls, and performance bottlenecks
Implement system-level diagnostics, regression testing, and root cause analysis for kernel and container-related bugs
Contribute to kernel configuration, module development, and custom Linux distributions tailored for specialized workloads (e.g., Ubuntu, RedHat)
Support CI/CD integration for kernel and container builds and distribution into repositories

Skills

Key technologies and capabilities for this role

Linux KernelKernel DebuggingKGDBkdbGDBDockercontainerdCRI-OCgroupsNamespacesDevice DriversCI/CDUbuntuRedHat

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5, determined based on location, experience, and pay for similar positions. Candidates are also eligible for equity and benefits.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

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

Required skills include at least 8 years of experience with Linux kernel internals, device drivers, and kernel debugging tools; advanced understanding of container runtime architectures like Docker and containerd, namespaces, and cgroups; proficiency in diagnosing and optimizing distributed systems; and strong experience in CI/CD systems, cloud computing, and distributed software design.

What is the company culture like at NVIDIA?

NVIDIA has resourceful and dedicated people, world-class engineering teams growing fast due to unprecedented growth, and values creative and autonomous engineers with a passion for technology.

What makes a candidate stand out for this role?

To stand out, candidates should have experience with ARM architecture, strong skills in Go and C programming, background with Gitlab, Jenkins or other CI/CD systems, and real-world hands-on experience with Containers and Kubernetes.

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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