Senior Software Engineer, AIOps and Observability

NVIDIA AI; 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 highly skilled Senior Software Engineer to design and develop AIOps and Observability platforms. You will mentor engineers and collaborate with product managers to define strategy and roadmaps for monitoring millions of assets across cloud, on-prem and edge environments.

You will work with data scientists on ML models for anomaly detection and root cause analysis, and help build scalable, distributed systems with an emphasis on data quality, security and compliance.

Qualifications

• 12+ years in product development and full stack engineering with 5+ years in observability platforms.
• Bachelor’s degree in CS/engineering or equivalent experience.
• Experience with Prometheus, Victoria Metrics, Grafana, OpenTelemetry, etc.
• Hands-on with AIOps tools like BigPanda, PagerDuty, Datadog.
• Experience with Kubernetes, Docker, microservices, and streaming with Kafka/NATS.
• Proficient in Go, Python, Java, or C#.

Responsibilities

• Lead design, development, and deployment of AIOps and Observability platforms.
• Define technical vision and roadmap for observability initiatives.
• Collaborate with teams to meet observability needs.
• Set standards and evaluate new observability technologies.
• Provide peer reviews on performance, scalability, security, and correctness.
• Develop AI agents and AI-native tools for faster issue resolution.

Skills

Observability platforms

Kubernetes

Go

Python

Distributed systems

Cloud-native

Prometheus

Education

Bachelor's degree in CS/Engineering

Tools

Prometheus

Victoria Metrics

Grafana

OpenTelemetry

Kafka

NATS

Docker

Job description

Job Requisition ID JR2022104 Job Category Engineering Time Type Full time

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. If you're creative, self‑motivated and enjoy having fun, then what are you waiting for

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.

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.