Senior Systems Software Engineer, Observability and Telemetry Platform

at Nvidia

📍 Santa Clara, United States

USD 184,000-356,500 per year

SENIOR

✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Docker @ 4 Go @ 4 Grafana @ 4 Kubernetes @ 4 Linux @ 4 Prometheus @ 4 Ruby @ 4 Python @ 4 Distributed Systems @ 7 Communication @ 7 Mathematics @ 4 Networking @ 4 OpenStack @ 4 Perl @ 4 OpenTelemetry @ 4 Observability @ 4 AI @ 4

Details

Senior Systems Software Engineer role at NVIDIA to design, build, and maintain large-scale production systems focused on observability and telemetry. The position requires high efficiency and availability, combining software and systems engineering practices across systems, networking, coding, databases, capacity management, continuous delivery/deployment, and open source cloud technologies like Kubernetes and OpenStack. The role emphasizes automation, performance tuning, reliability, and making production systems easier to operate while enabling developer velocity.

Responsibilities

Design, implement, and support operational and reliability aspects of a large-scale Observability & Telemetry collection platform with 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 system design consulting, developing software tools, platforms and frameworks, capacity management, and launch reviews
Maintain services once live by measuring and monitoring availability, latency, and overall system health
Scale systems sustainably through automation and push for changes that improve reliability and velocity
Practice sustainable incident response and blameless postmortems
Participate in on-call rotation to support production systems

Requirements

BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience
8+ years of experience with infrastructure automation and distributed systems design; experience designing and developing tools for running large-scale private or public cloud systems in production
5+ years experience delivering foundational infrastructure and observability platforms
Experience in one or more of: Python, Go, Perl, or Ruby
In-depth knowledge of Linux, networking, and containers

Ways to stand out

Interest in crafting, analyzing, and fixing large-scale distributed systems
Systematic problem-solving approach, strong communication skills, sense of ownership, ability to debug and optimize code and automate routine tasks
Experience 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

Compensation and benefits

Base salary range for Level 4: 184,000 USD - 287,500 USD
Base salary range for Level 5: 224,000 USD - 356,500 USD
Eligible for equity and benefits (link to NVIDIA benefits provided in original posting)

Other information

Applications accepted at least until July 18, 2026
This posting is for an existing vacancy
NVIDIA uses AI tools in its recruiting processes
NVIDIA states a commitment to an inclusive work environment and equal opportunity employment