Senior Systems Software Engineer, Linux and Containers at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
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

Linux Kernel
Kernel Debugging
KGDB
kdb
GDB
Docker
containerd
CRI-O
Cgroups
Namespaces
Device Drivers
CI/CD
Ubuntu
RedHat

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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