Senior Systems Software Engineer, Observability and Telemetry Platform

NVIDIA•Santa Clara, CA

10d•$152,000 - $241,500

About The Position

NVIDIA is hiring a Senior Systems Software Engineer to compose, build, and maintain large-scale, highly efficient, and highly available production systems. The role combines software and systems engineering, drawing on knowledge of systems, networking, coding, databases, capacity management, continuous delivery and deployment, and open-source cloud technologies such as Kubernetes and OpenStack. The engineer will help ensure internal and external GPU cloud services meet reliability and uptime expectations while enabling developers to make changes through careful preparation and planning, with attention to capacity, latency, and performance. The role focuses on the operational and reliability aspects of a large-scale Observability and Telemetry collection platform, including real-time monitoring, logging, and alerting. It involves improving services throughout their lifecycle, supporting launches, measuring and monitoring live service health, and scaling and improving systems through automation and reliability-focused changes. The position participates in an on-call rotation and practices sustainable incident response and blameless postmortems. NVIDIA describes its culture as diverse, intellectually curious, collaborative, and supportive of self-direction, learning, and mentorship. The expected base salary range is USD 152,000–241,500, determined by location, experience, and other objective job-related factors. The role is also eligible for equity and benefits.

Requirements

Bachelor's degree in Computer Science or a related technical field involving coding, such as physics or mathematics, or equivalent experience.
At least 5 years of experience with infrastructure automation, distributed systems design, and designing and developing tools for operating large-scale private or public cloud systems in production.
At least 5 years of experience delivering foundational infrastructure and observability platforms.
Experience with one or more of Python, Go, Perl, or Ruby.
In-depth knowledge of Linux, networking, and containers.

Nice To Haves

Interest in crafting, analyzing, and fixing large-scale distributed systems.
A systematic problem-solving approach, strong communication skills, a sense of ownership and drive, and the ability to debug and optimize code and automate routine tasks.
Experience using or operating large private and public cloud systems based on Kubernetes, OpenStack, and Docker.
Experience operating Grafana, OpenTelemetry, Prometheus, or similar observability-focused tools.

Responsibilities

Design, implement, and support operational and reliability aspects of a large-scale Observability and Telemetry collection platform, focusing on performance at scale, real-time monitoring, logging, and alerting.
Improve the full service lifecycle, from inception and design through deployment, operation, and refinement.
Support services before launch through system design consulting, development of software tools, platforms, and frameworks, capacity management, and launch reviews.
Maintain live services by measuring and monitoring availability, latency, and overall system health.
Scale systems sustainably through automation and improve reliability and velocity through system changes.
Practice sustainable incident response and conduct blameless postmortems.
Participate in an on-call rotation supporting production systems.