Role at a glance
- Salary
- $184K – $287.5K/yr
- Location
- 3 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 8+ years of full-stack software development experience with a focus on Data Platforms or Infrastructure Tools.
- Education
- BS or MS in Computer Science, Electrical Engineering, or related field (or equivalent experience).
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Role Summary
The Senior System Software Engineer will lead the evolution of NVIDIA’s Data & Observability Platform within the Hardware Infrastructure organization. The role will build centralized infrastructure that NVIDIA engineers use to visualize chip telemetry, debug distributed pipelines, and support platform reliability.
What You'll Do
- Design and build centralized, high-performance telemetry ingestion pipelines using push-based edge collection architectures.
- Design and implement data governance infrastructure, policy engines, access control enforcement points, secure credential management,...
- Develop a modern web interface and APIs that unify distinct observability signals.
- Implement tiered storage architectures and route high-volume data to cold storage for long-term retention.
- Architect workflow orchestration systems for platform maintenance, data lifecycle management, and complex pipeline operations.
- Provide operational and strategic data to engineering and research teams through improved observability.
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View full postingQualifications
Strong full-stack fluency in high-performance backend systems programming and modern frontend web frameworks; observability platform experience; infrastructure-as-code experience deploying stateful services on Kubernetes; familiarity with event streaming and modern data lake formats.
Required
- Python, JavaScript, Java, Rust, Go, React, or similar
- Apache Spark, Elastic/Open Search, Grafana, Prometheus, or similar observability platforms
- Grafana Ecosystem or ELK stack at scale
- Time-series databases and inverted indexes
- Kubernetes with Helm, Terraform, or Ansible
- Event streaming and modern data lake formats
Preferred
- Custom Grafana data source plugins or backend plugins in Go
- Migrating legacy monoliths to microservices or Vector-based pipelines
- OpenTelemetry collector configuration, custom processors, or instrumentation SDKs
- Data Governance, Policy-as-Code, or compliance frameworks in a regulated environment
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
What we need to see:
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
Ways to stand out from the crowd:
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.
You will also be eligible for equity and benefits.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.