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Site Reliability Engineer, AI Infrastructure
4 weeks ago
We are seeking a highly skilled Site Reliability Engineer to join our AI Infrastructure team at Tesla. As a key member of our team, you will be responsible for maintaining and improving our platform to ensure our Full-Self-Driving (FSD), Tesla Bot & Dojo engineering teams have the necessary tools and resources to be productive.
Key Responsibilities- Manage and operate our AI infrastructure, monitoring compute/GPU/network metrics, Linux troubleshooting & performance tuning, and security.
- Support the AI/ML cluster infrastructure on both GPU and Dojo platforms, focusing on systems automation, configuration management and deployment at scale.
- Improve our monitoring & self-healing pipelines, as well as security posture.
- Optimize our server, storage and network performance.
- Develop new tools in Python, Golang or Bash/Shell.
- Use Infrastructure as Code best practices.
- Participate in 24x7 on-call rotation.
- Proficiency in Python, Golang and/or Bash.
- Proficiency with Linux fundamentals and performance optimizations.
- Experience with configuration management software (Ansible, etc.), systems monitoring & alerting (Prometheus, Grafana, Telegraf, Splunk, etc.).
- Experience with containerization technologies such as Kubernetes.
- Experience with high-throughput low-latency networks, GPU-based computing systems, and/or high-performance storage systems is a plus.
- Experience with Slurm, LSF and storage management of parallel file systems is a plus.
- Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Physics or proof of exceptional skills in related field.
- 3+ years of additional equivalent experience or evidence of exceptional ability related to the position.
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge AI and machine learning projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.