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.What you will be doing:<ul><li>Perform advanced Linux kernel debugging using tools such as KGDB, kdb, and GDB; analyze and resolve kernel-level issues.</li><li>Develop, optimize, and maintain container runtimes (e.g., Docker, containerd, CRI-O), ensuring secure and efficient orchestration.</li><li>Collaborate with Linux and infrastructure teams to troubleshoot device drivers, system calls, and performance bottlenecks.</li><li>Implement system-level diagnostics, regression testing, and root cause analysis for kernel and container-related bugs.</li><li>Contribute to kernel configuration, module development, and custom Linux distributions tailored for specialized workloads (e.g., Ubuntu, RedHat).</li><li>Support CI/CD integration for kernel and container builds builds and distribution into repositories</li></ul>What we need to see:<ul><li>Bachelors or Master’s in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience).</li><li>At least 8 years of experience with Linux kernel internals, device drivers, and kernel debugging tools.</li><li>Advanced understanding of container runtime architectures (e.g., Docker, containerd), namespaces, cgroups, and related Linux kernel features.</li><li>Proficiency in diagnosing, fixing, and optimizing distributed systems and containers under real production constraints.</li><li>Excellent problem-solving, communication, and prioritization skills; self-motivated and quick to master new technologies.</li><li>Strong experience in setting up, maintaining, and automating continuous integration systems.</li><li>Strong background in Cloud Computing and Distributed Software design and development.</li><li>Understanding of performance, security and reliability in complex distributed systems.</li></ul>Ways to stand out from the crowd:<ul><li>Experience with ARM architecture is highly valued.</li><li>Strong experience with the Go and C programming language.</li><li>Strong background with Gitlab, Jenkins and/or other CI/CD systems.</li><li>Real world strong hands on experience with Containers and Kubernetes.  </li></ul>NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most resourceful and dedicated people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If youre a creative and autonomous engineer with a real passion for technology, we want to hear from you.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until September 7, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.