Engineering Manager, Observability Platform

Details

At NVIDIA, the data science platform team builds and operates a high-scale observability foundation that carries metrics, logs, traces, profiles, and events used to understand and debug services. This Engineering Manager role stays close to technology: guiding architecture decisions, reviewing designs and code, and helping engineers solve distributed-systems challenges related to telemetry ingestion, storage, querying, and multi-region data flows.

Responsibilities

• Lead a team of engineers who design and build core services, pipelines, and storage layers for NVIDIA’s global observability platform.
• Create clear technical direction emphasizing simplicity, performance, and maintainability.
• Define architecture for distributed ingestion services, time-series storage, log and trace pipelines, query paths, and multi-region data flows.
• Partner with platform, infrastructure, and application teams to define data models, instrumentation patterns, APIs, and integration standards.
• Strengthen engineering practices via better tooling, automated tests, schema management, API versioning, documentation, and safe rollout processes.
• Help engineers solve distributed-systems issues including ingestion load, indexing pressure, compaction behavior, query fan-out, and replication patterns.
• Drive predictable execution through clear priorities, collaborative planning, and alignment across teams.
• Represent the observability platform across NVIDIA, gather feedback, and evolve the system to support future AI workloads.

Requirements

• Bachelor’s or Master’s degree in Computer Science or a related technical field (or equivalent experience).
• 8+ years overall building distributed systems, with a focus on observability and monitoring systems, and 3+ years managing or leading engineers.
• Experience with modern observability stacks such as Prometheus, Thanos, Mimir, Loki, OpenSearch, Jaeger, Tempo, or OpenTelemetry (or equivalent experience).
• Strong foundations in distributed systems concepts including replication, sharding, durability, consensus, and performance tuning.
• Hands-on experience designing or scaling ingestion pipelines, time-series engines, trace backends, or log indexing systems, especially in high-cardinality environments.
• Ability to read and review Go or Python code and support engineers through technical decision-making.
• Clear architectural thinking with a focus on stable APIs, predictable performance, and long-term evolution.
• Experience mentoring engineers, improving technical judgment, and contributing to an inclusive engineering culture.
• Strong communication skills and the ability to explain complex challenges with clarity.

Ways to stand out

• Experience building or contributing to an observability or telemetry platform used at significant scale.
• Contributions to open-source projects such as OpenTelemetry, Prometheus, Loki, Thanos, Tempo, Jaeger, ClickHouse, Mimir, or Elasticsearch.
• Experience with high-throughput systems like Kafka, Flink, or Spark, or large-scale data collectors.
• Deep knowledge of cardinality management, query performance, storage design, or retention optimization.
• Experience designing multi-region architectures with emphasis on consistency, availability, and data locality.

Compensation and benefits

• Base salary range: 224,000 USD - 356,500 USD (determined based on location, experience, and pay of employees in similar positions).
• Eligibility for equity and company benefits (link to NVIDIA benefits referenced in original posting).

About NVIDIA

NVIDIA leads developments in Artificial Intelligence, High-Performance Computing, and Visualization. The company values diversity and is an equal opportunity employer.

Application deadline

Applications for this job will be accepted at least until January 11, 2026.