Senior Software Engineer, AIOps and Observability

NVIDIA; Santa Clara (CA); Sur place; USD 200 000 - 322 000; Plein temps

Avantages offerts par ce poste

Equity

Benefits

Résumé du poste

NVIDIA Corporation in Santa Clara, CA seeks a Senior Software Engineer to design and develop AIOps & Observability platforms used across cloud and on-prem environments, tracking millions of assets and services. You will mentor engineers, define strategy, and drive adoption of best practices for monitoring, tracing, and analytics.

The role requires deep expertise in distributed systems, ML-informed diagnostics, and scalable data pipelines, with knowledge of Prometheus, Grafana, and OpenTelemetry.

Qualifications

• Bachelor's degree in computer science or related field is required.
• 12+ years of product development and full stack engineering experience.
• Strong knowledge of observability tools and platforms.

Responsabilités

• Lead design, development, and deployment of AIOps & Observability platforms including metrics, logs, traces, and dashboards.
• Drive the technical vision and roadmap for observability initiatives aligned with business goals.
• Collaborate with teams to understand observability needs and deliver tailored solutions.
• Establish and implement observability standards and processes across NVIDIA.
• Provide peer reviews focusing on performance, scalability, and security.
• Work with data scientists to implement ML models for anomaly detection and forecasting on logs and metrics.

Connaissances

Go

Python

Java

C#

Observability

ML basics

Communication

Formation

Bachelor's degree in computer science or related field

Outils

Prometheus

Victoria Metrics

Vector

Loki

Grafana

OpenTelemetry

Kafka

NATS

Docker

Kubernetes

Nomad

ClickHouse

PagerDuty

Datadog

Description du poste

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.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position 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 November 3, 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.