Principal Systems Software Engineer - Observability and Telemetry Platform

Principal Systems Software Engineer at NVIDIA is an engineering discipline to design, build and maintain large scale production systems with high efficiency and availability using the combination of software and systems engineering practices. This is a highly specialized discipline which demands knowledge across different systems, networking, coding, database, capacity management, continuous delivery and deployment and open source cloud enabling technologies like Kubernetes and OpenStack. SRE at NVIDIA ensures that our internal and external facing GPU cloud services run maximum reliability and uptime as promised to the users and at the same time enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency and performance. The Principal Systems Software Engineer is also a mindset and a set of engineering approaches to running better production systems and optimizations. Much of our software development focuses on eliminating manual work through automation, performance tuning and growing efficiency of production systems.The lead Systems Software Engineer oversees how our systems connect and interact. We apply various tools and approaches to address a diverse set of problems. Practices such as limiting time spent on reactive operational work, blameless postmortems and proactive identification of potential outages factor into iterative improvement that is key to both product quality and interesting dynamic day-to-day work. SRE's culture of diversity, intellectual curiosity, problem solving and openness is important to our success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn and grow.What you'll be doing:Design, implement and support operational and reliability aspects of large scale Observability & Telemetry collection platform with a focus on performance at scale, real time monitoring, logging and alertingEngage in and improve the whole lifecycle of services—from inception and design through deployment, operation and refinementSupport services before they go live through activities such as system design consulting, developing software tools, platforms and frameworks, capacity management and launch reviewsMaintain services once they are live by measuring and monitoring availability, latency and overall system healthScale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocityPractice sustainable incident response and blameless postmortemsBe part of an on call rotation to support production systemsWhat we need to see:BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience15+ years of experience with Infrastructure automation, distributed systems design, experience with design, develop tools for running large scale private or public cloud system in Production8+ years experience delivering foundational infrastructure and observability platforms.Experience in one or more of the following: Python, Go, Perl or RubyIn depth knowledge on Linux, Networking and ContainersWays to stand out from the crowd:Interest in crafting, analyzing and fixing large-scale distributed systemsSystematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. Ability to debug and optimize code and automate routine tasksExperience in using or running large private and public cloud systems based on Kubernetes, OpenStack and Docker. Experience running Grafana, OpenTelemetry, Prometheus, and similar observability focused toolsYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until August 4, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering an inclusive 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.SummaryLocation: US, CA, Santa Clara; US, RemoteType: Full time