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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Systems Software Engineer - Fleet Debuggability - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, JIRA, Unit Testing, Intelligent Platform Management Interface, C++ (Programming Language), Code Review, Databases, Software Debugging, Linux, Firmware, Python (Programming Language), Log Analysis, Open Source Technology, Perforce, Prometheus, Software Engineering, Syslog, Systems Architecture, System Software, Data Logging, Large Language Models, Grafana, Git, Pagerduty - **Published:** July 22, 2026 - **Apply:** https://www.disabledperson.com/jobs/73796518-senior-systems-software-engineer-fleet-debuggability ## About the Role * 10+ years in the software industry with specialization in system software and/or firmware development. * BS, MS, or PhD in CS, CE, EE, or a related technical field - or equivalent experience. * Proven track record of shipping scalable server products or fleet-wide experience. * A self-starter who loves finding creative solutions to complicated problems, with excellent written and oral communication skills - including executive-level reporting - strong work ethic, and dedication to teamwork. * Flexibility to work and communicate effectively across teams, partners, and time zones. * Experience with SCM (e.g., Git, Perforce) and project-management tools like Jira. Strong, demonstrable skills in Python or RUST. * Deep Linux systems experience: kernel and driver logs, syslog, journald, and the realities of debugging on server platforms. * Hands-on experience with out-of-band management and platform interfaces - BMC, Redfish, IPMI, SEL - and an understanding of in-band vs. out-of-band trade-offs. * Strong skills in log parsing, normalization, and structured logging, and comfort designing schemas and taxonomies for machine-readable events. Ways to stand out from the crowd: * Experience leading debuggability solutions on sophisticated rack-scale compute architectures like GB200/GB300 NVL72. Familiarity with log and telemetry analytics stacks (e.g., OpenSearch/ELK, Loki, Prometheus, Grafana, PagerDuty) and time-series databases. * Hands-on experience with x86/ARM system architecture and coding (C/C++, Python). Experience with SCM (Git, Perforce) and project management tools (Jira). * Track record of integrating AI/LLM tooling into engineering workflows - for triage, validation, log analysis, or test generation. Experience standing up follow-the-sun support organizations with measurable response SLAs * Experience contributing to or maintaining open-source projects, including managing the boundary between internal and public code. ## Description * Architect, Design, build, fleet-wide log collection and analysis solutions that aggregate signals across components, trays, and racks. * Develop tooling to collect, normalize, and time-align logs from heterogeneous sources - kernel and driver logs, syslog, Redfish event logs, SEL, firmware and BMC logs - over both in-band and out-of-band channels. Build and maintain a log catalog and taxonomy that maps raw log signatures to fault classes, severity, and remediation guidance, so triage is repeatable rather than tribal knowledge. * Develop debug and root-cause tooling that turns high-volume fleet logs into ranked, actionable diagnoses for hardware, firmware, and platform faults. Drive the design for collecting and analyzing logs at fleet scale while keeping overhead on production compute nodes low. * Partner with all matrixed organizations - developers, SWQA, and product engineering - in a fast-moving environment with end-to-end logging solutions, event schemas, and the contract between log producers and your tooling. * Steward the project's open-source release: keep internal and public code paths clean, review community contributions, and represent the tooling in upstream discussions. * Write design docs and own end-to-end delivery, working across teams from definition through implementation, debugging, testing, and early customer support. * Perform code reviews and partner with development and QA to strengthen unit testing, integration coverage, and test plans. * Track work through Jira and bug-management tools and build a realistic end-to-end execution plan in collaboration with other engineers and managers. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [The weekly developer show: Boosting Python with CUDA, CSS Updates & Navigating New Tech Stacks](https://www.wearedevelopers.com/videos/1293-the-weekly-developer-show-boosting-python-with-cuda-css-updates-navigating-new-tech-stacks) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Dev Digest 102 - Race conditions](https://www.wearedevelopers.com/magazine/386-dev-digest-102-race-conditions) - [Is Software Engineering Hard?](https://www.wearedevelopers.com/magazine/448-is-software-engineering-hard)