Senior Software Engineer, AIOps and Observability

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 200,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Software Engineer to design and develop AIOps and Observability platforms used across cloud, on-prem, and data centers. You will lead the architecture, implement metrics, logs, traces, and dashboards, and guide teams on observability best practices.

Expect to mentor engineers and collaborate with data scientists on ML-driven anomaly detection. You will drive the technical vision, align with business goals, and build scalable, secure, and reliable systems capable of

Qualifications

• Bachelor's degree in computer science and engineering or related field.
• 12+ years in product development and full-stack engineering with 5+ years in observability platforms.
• Strong knowledge of Prometheus, Victoria Metrics, Grafana, OpenTelemetry, and related tooling.
• Hands-on experience with Kubernetes, Docker, and microservices architectures.
• Experience with streaming systems handling large-scale events.

Responsibilities

• Lead design, development, and deployment of AIOps and Observability platforms.
• Define roadmap and standards for observability across NVIDIA.
• Collaborate with teams to address observability needs and ensure scalable solutions.
• Provide peer reviews focusing on performance, security, and reliability.
• Work with data scientists on ML models for anomaly detection and root-cause analysis.

Skills

Go

Python

Java

C#

Mentoring

Education

Bachelor's degree in CS/Engineering

Tools

Prometheus

Victoria Metrics

Vector

Loki

Grafana

OpenTelemetry

Clickhouse

PagerDuty

Datadog

Kubernetes

Docker

Kafka

Job description

We are looking for a highly skilled Senior Software Engineer to design and develop AIOps & Observability platforms at NVIDIA. The platforms are used by internal teams to monitor, diagnose, and optimize the products, millions of assets and services in cloud, on-prem, data centers, supply chain, and edge. You will work with a team of engineers, product managers, and partners to define the observability strategy, roadmap, and standard methodologies for NVIDIA. You will also mentor and coach other engineers on observability, machine learning, tools and techniques.

What you will be doing:

• Lead the design, development, and deployment of AIOps & Observability platforms, including metrics, logs, traces, events, alerts, dashboards, and visualizations.
• Drive the technical vision and roadmap for AIOps and Observability initiatives, aligning with business goals and industry best practices.
• Collaborate with other teams and customers to understand their observability needs and provide solutions that meet their requirements and expectations.
• Establish and implement observability standards, guidelines, and processes across NVIDIA. Research, evaluate, and adopt new observability technologies and frameworks that can enhance user experience.
• Provide peer reviews to other engineers including feedback on performance, scalability, security and correctness.
• Work with Data scientists to implement machine learning models for anomaly detection, forecasting, and root cause analysis on logs, metrics, and events. Handle large volumes of data and ensure data quality, security, and compliance.
• Develop and operate scalable, reliable, and distributed systems that can handle high traffic and complex workloads.
• Develop AI agents and AI-native observability tools that help engineers detect, understand, and resolve production issues faster. Build agentic workflows that reason across logs, metrics, traces, events, alerts, topology, and incident history to support anomaly detection, forecasting, root cause analysis, automated debugging, and remediation recommendations.

What we need to see:

• Bachelor’s degree in computer science and engineering, or related field, or equivalent experience.
• 12+ years of experience in product development and full stack engineering, with 5+ years of experience in developing and operating observability platforms and solutions, preferably in a cloud-native environment.
• Strong knowledge and experience with observability tools, such as Prometheus, Victoria Metrics, Vector, Loki, Grafana, Alert Manager, Clickhouse, OpenTelemetry, etc.
• Hands-on knowledge in AIOps tools such as BigPanda, PagerDuty, Datadog, etc.
• Experience with Kubernetes, Nomad, Docker, and microservices architectures as well as experience with streaming services to ingest billions of events using NATS, Kafka, etc
• Proficient in one or more programming languages, such as Go, Python, Java, C#, etc.
• Passionate about observability and delivering high-quality internal platforms.
• Experience with developing Observability solutions to monitor On-prem and Public Cloud environments.
• Experience with running large Observability platforms on BareMetal Infrastructure
• Establish scalable data pipelines and instrumentation for collecting, aggregating, and visualizing telemetry and operational metrics.

Ways To Stand Out From The Crowd:

• Deep understanding of implementing Observability solutions to large scale on-prem Infrastructure and Networking.
• Hands-on experience with managing large scale Observability Platforms with LLMs & ML Models and building custom services to ingest billions of metrics and logs from wide range of assets.
• Developed unified cloud observability platform to monitor Network, Compute, Power, Storage, Operating Systems, Security, Applications, SaaS Platforms.
• Demonstrated experience and expertise in using machine learning and Generative AI to develop solutions such as predictive monitoring, incident diagnosis, summarization and correlation.
• Demonstrate proficiency in AI/ML systems, generative AI, or agentic AI frameworks.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 4, 2026.

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.