Job Summary:
Tesla's Supercomputing/AI infrastructure team works on high-performance computing and machine learning infrastructure critical for their ML algorithms. As a Site Reliability Engineer, you will maintain and enhance the platform to support Full-Self-Driving (FSD) and Optimus engineering teams, focusing on AI infrastructure management, performance optimization, and systems automation.
Responsibilities:
• Support the AI/ML cluster infrastructure on GPU 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
Qualifications:
Required:
• 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
• 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
Preferred:
• 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
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.