Senior System Software Engineer - Data Platform Observability

NVIDIA•Austin, TX

About The Position

NVIDIA’s Hardware Infrastructure organization is seeking a Senior System Software Engineer to lead the evolution of our next-generation Data & Observability Platform. We serve and collaborate directly with NVIDIA’s rapidly growing AI, HW, and SW engineering and research teams across the company. We are looking for a Full-Stack technical lead who is not afraid to dig deep into infrastructure. You will be the technical anchor for our Observability stack, driving the transition to a modern tooling that is best fit for our customers and use cases. You will build the centralized platform that thousands of NVIDIA engineers rely on to visualize chip telemetry, debug distributed pipelines, and ensure platform reliability. What you’ll be doing: Architect High-Performance Ingestion: Design and build centralized telemetry pipelines capable of handling massive scale. You will solve global latency challenges by implementing modern, push-based edge collection architectures to replace legacy proxy models. Build Policy Enforcement Systems: Design and implement the technical infrastructure for data governance, policy engines, access control enforcement points, secure credential management, and audit logging. Looking for someone who has built governance controls into a platform, not just administered them. Focus on User Experience: Develop a modern, web interface and APIs that unify distinct observability signals into a seamless, consolidated user experience. Optimize Storage & Cost: Implement cost-effective tiered storage architectures. You will define strategies for routing high-volume data to cold storage solutions to reduce costs while maintaining multi-year data retention. Drive Platform Automation: Architect workflow orchestration systems to automate platform maintenance, data lifecycle management, and complex pipeline operations. Work in a diverse team to provide operational and strategic data to empower our engineers and researchers to improve performance, productivity, and efficiency to continuously improve quality, workloads, and processes through better observability.

Requirements

BS or MS in Computer Science, Electrical Engineering, or related field (or equivalent experience).
8+ years of full-stack software development experience with a focus on Data Platforms or Infrastructure Tools.
Strong Full-Stack Fluency: Proficiency in high-performance backend systems programming and modern frontend web frameworks for building responsive user interfaces (Python, JS, Java, Rust, Go, React, or similar).
Observability Expertise: Experience with observability platforms such as Apache Spark, Elastic/Open Search, Grafana, Prometheus, and other similar open-source tools. Hands-on experience operating and extending the Grafana Ecosystem or ELK stack at scale. You understand the internals of time-series databases and inverted indexes.
Infrastructure-as-Code: Experience deploying complex stateful services on Kubernetes using Helm, Terraform, or Ansible.
Streaming & Storage: Familiarity with event streaming and modern data lake formats

Nice To Haves

Experience writing Custom Grafana data source Plugins or backend plugins in Go.
Background with migrating legacy monoliths to microservices or Vector-based pipelines.
Experience with OpenTelemetry (OTEL) collector configuration, writing custom processors, or instrumentation SDKs.
Background in Data Governance, including implementation of Policy-as-Code or compliance frameworks in a regulated environment.

Responsibilities

Architect High-Performance Ingestion: Design and build centralized telemetry pipelines capable of handling massive scale. You will solve global latency challenges by implementing modern, push-based edge collection architectures to replace legacy proxy models.
Build Policy Enforcement Systems: Design and implement the technical infrastructure for data governance, policy engines, access control enforcement points, secure credential management, and audit logging.
Focus on User Experience: Develop a modern, web interface and APIs that unify distinct observability signals into a seamless, consolidated user experience.
Optimize Storage & Cost: Implement cost-effective tiered storage architectures. You will define strategies for routing high-volume data to cold storage solutions to reduce costs while maintaining multi-year data retention.
Drive Platform Automation: Architect workflow orchestration systems to automate platform maintenance, data lifecycle management, and complex pipeline operations.
Work in a diverse team to provide operational and strategic data to empower our engineers and researchers to improve performance, productivity, and efficiency to continuously improve quality, workloads, and processes through better observability.