Site Reliability Engineer, HPC Infrastructure
About The Position
Tesla's Supercomputing/AI infrastructure team works directly with the high-performance computing and machine learning infrastructure on which our ML algorithms run; this includes virtual simulations, Autopilot hardware & silicon design. With the rapidly-growing need for more data and optimized compute resources, cluster builds are getting larger and increasingly complex. Continued development/automation of deployment, monitoring, self-healing and alerting processes is imperative to the success of our engineering groups. As the scope and impact of our Optimus, Full-Self-Driving (FSD) & Robotaxi efforts continue to scale, so does the value of this team and its work. As a Site Reliability Engineer, you will be responsible for maintaining and improving our platform to ensure our Full-Self-Driving (FSD) & Optimus engineering teams have the necessary tools and resources to be productive. This includes managing/operating our AI infrastructure, monitoring compute/GPU/network metrics, Linux troubleshooting & performance tuning, and security. Your work will directly facilitate neural network training at scale & streamline FSD development.
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Medical plans > plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D
- Short-term and long-term disability insurance (90 day waiting period)
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
