Senior Systems Engineer – Autonomous Vehicle Infrastructure
| Company | NVIDIA |
|---|---|
| Location | Seattle, WA, USA, Austin, TX, USA, Santa Clara, CA, USA, New York, NY, USA |
| Salary | $184000 – $356500 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior, Expert or higher |
Requirements
- 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
Responsibilities
- 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
Preferred Qualifications
- 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