Senior Systems Software Engineer, Observability and Telemetry Platform

NVIDIA Corporation; Santa Clara (CA); On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Senior Systems Software Engineer for the Observability and Telemetry Platform. You will design, build, and maintain large-scale production systems that power GPU cloud services with high reliability, performance, and real-time monitoring.

The role requires expertise across software and systems engineering, Linux, networking, containers, and modern observability tools such as Grafana, OpenTelemetry, and Prometheus.

Qualifications

• BS degree in Computer Science or a related technical field, or equivalent experience.
• 5+ years in infrastructure automation and distributed systems designing production-scale platforms.
• Experience delivering foundational infrastructure and observability platforms.
• Proficiency with Python, Go, Perl or Ruby.
• Strong knowledge of Linux, networking and container technologies.
• Interest in large-scale distributed systems and problem solving.
• Strong communication and ownership mindset.

Responsibilities

• Design, implement and support operational and reliability aspects of large-scale Observability & Telemetry platform with focus on performance at scale.
• Engage in and improve the entire service lifecycle from design to deployment and refinement.
• Support services before go-live through design reviews, tooling, capacity management and launch reviews.
• Maintain services in production by monitoring availability, latency and health.
• Scale systems via automation and drive changes to improve reliability and velocity.
• Practice blameless postmortems and incident response.
• Participate in on-call rotation to support production systems.

Skills

Infrastructure automation

Distributed systems design

Python/Go/Perl/Ruby

Linux systems

Networking & Containers

Observability tooling

Education

BS in Computer Science or related field

Tools

Kubernetes

OpenStack

Docker

Grafana

OpenTelemetry

Prometheus

Job description

Senior Systems Software Engineer, Observability and Telemetry Platform at NVIDIA is an engineering role to compose, build, and maintain large scale production systems. These systems require high efficiency and availability. The role uses a 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. Senior Systems Software Engineer 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. Senior 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 Senior Systems Software Engineer are responsible for the big picture of how our systems relate to each other, we use a breadth of tools and approaches to tackle a broad spectrum 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 exciting dynamic day-to-day work. The Senior Systems Software Engineer culture of diversity, intellectual curiosity, problem solving and willingness 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 relevant 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 alerting
• Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation and refinement
• Support services before they go live through activities such as system design consulting, developing software tools, platforms and frameworks, capacity management and launch reviews
• Maintain services once they are live by measuring and monitoring availability, latency and overall system health
• Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity
• Practice sustainable incident response and blameless postmortems
• Be part of an on call rotation to support production systems

What we need to see:

• BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience
• 5+ years of experience with Infrastructure automation, distributed systems design, experience with design, develop tools for running large scale private or public cloud system in Production
• 5+ years experience delivering foundational infrastructure and observability platforms.
• Experience in one or more of the following: Python, Go, Perl or Ruby
• In depth knowledge on Linux, Networking and Containers
• Ways to stand out from the crowd: Interest in crafting, analyzing and fixing large-scale distributed systems
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
• Ability to debug and optimize code and automate routine tasks
• Experience 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 tools

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 15, 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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.