NVIDIA is looking for a Sr. Software Engineer to specialize in Linux environments, kernel debugging, and container runtimes to develop, optimize, and maintain scalable systems. Candidates will contribute to complex system troubleshooting and drive technical solutions for platform reliability.
Requirements
- 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.
- 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.
- Strong experience with the Go and C programming language.
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 builds and distribution into repositories
Other
- Bachelor's or Master's in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience).
- Excellent problem-solving, communication, and prioritization skills; self-motivated and quick to master new technologies.
- Experience with ARM architecture is highly valued.
- Strong background with Gitlab, Jenkins and/or other CI/CD systems.
- Real world strong hands on experience with Containers and Kubernetes.
