Senior DevOps Engineer, AI and AV Infrastructure

NVIDIA

full-time

Posted on: 9/24/2025

Origin: • 🇨🇳 China

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Senior

CloudDistributed SystemsDockerKubernetesLinuxPython

About the role

Deploy and operationalize vendor-provided platforms in our service cloud, starting with proof-of-concept environments to validate dependencies, workflows, and performance.
Build and maintain distributed infrastructure that supports large-scale log ingestion, data processing, and scenario validation at scale.
Automate workflows and pipelines using Python, Bash, and Bazel to ensure reproducibility, efficiency, and reliable distributed execution.
Integrate simulation and drive logs (e.g., parquet, world model data) with validation platforms, ensuring seamless end-to-end coverage analysis.
Provide visualization and reporting capabilities to surface validation results, coverage metrics, and actionable insights for developers and stakeholders.
Define and manage access controls, monitoring, and security policies to ensure compliance while enabling smooth collaboration across internal and vendor teams.
Partner closely with internal teams and external vendors to troubleshoot issues, refine SLAs, and continuously improve operational reliability and scalability.

BS/MS in Computer Science or Engineering (or equivalent experience) or BS/MS in STEM related field
5+ years of professional experience in infrastructure, distributed systems, or platform engineering.
Hands-on experience with Linux systems, Kubernetes/Docker, and CI/CD pipelines.
Strong scripting/development skills in Python, Bash, and exposure in C++ and/or GoLang.
Familiarity with Bazel build/test automation frameworks.
Experience in data/log ingestion workflows and distributed compute/storage systems.
Strong debugging, problem-solving, and communication skills to work across internal and vendor teams.