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Nvidia Senior Systems Engineer - Autonomous Vehicle Infrastructure 
United States, Texas 
375690545

Yesterday
US, CA, Santa Clara
US, TX, Austin
US, CO, Remote
US, CA, Remote
US, NY, New York
time type
Full time
posted on
Posted 30+ Days Ago
job requisition id

What you'll be doing:

  • Develop, operate and maintain tooling and automation to enhance developer productivity and operational efficiency for the org

  • Lead the development of infrastructure automation frameworks, and CI/CD pipelines, ensuring robust, scalable, and secure cloud-native applications deployment

  • Engage directly with engineering users to understand their needs and improve their experience by recommending robust, scalable cloud solutions.

  • Contribute to the design and architecture of the cloud infrastructure, traffic and networking components to meet the evolving needs of our internal developer platform

  • Play pivotal role in improving cloud infrastructure and services reliability and performance

  • Troubleshoot complex production issues

What we need to see:

  • BS/MS in Computer Science, Engineering or STEM related field (or equivalent experience)

  • 8+ years of professional experience in related field

  • Strong programming fundamentals with expertise in Go and Python

  • Experience developing and operating micro-services at scale

  • Good understanding of the SRE best practices, alerting and observability

  • Advanced Kubernetes workload management expertise, including traffic management, deployment strategies, observability, and security

  • Strong Infrastructure as Code (IaC) fundamentals with experience in developing infrastructure CI/CD pipelines, automation frameworks, and IaC libraries

Ways to stand out from the crowd:

  • Motivated self-starter with an equal balance of strong problem-solving skills and customer-facing communication skills

  • Excellent written and verbal interpersonal skills.

  • Contributions to open-source projects

  • Previous experience with building sophisticated tooling and SRE automation on the large GPU/CPU clusters

  • Deep AWS expertise across core services (VPC, IAM, EC2, S3, RDS, CloudFront, EKS) with proven experience in designing and managing scalable cloud infrastructure

You will also be eligible for equity and .