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On Call Tesla Security Jobs (NOW HIRING)

Sr. Software Engineer, Factory Software

Fremont, CA · On-site

$134K - $177K/yr

Tesla is seeking a highly motivated Sr Software Engineer with expertise in server-side and backend ... on-call rotations (no more than once every two months) • Direct interaction and communication ...

Senior IT & Security Operations Engineer

Irvine, CA · On-site

$114K - $155K/yr

Prior on-call or incident response experience in a security-conscious environment * Vendor ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

... from security incidents (e.g. perimeter intrusion, theft, LPR), to safety monitoring (e.g. PPE ... We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces.

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On Call Tesla Security information

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How much do on call tesla security jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for on call tesla security in the United States is $19.19, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.23 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Tesla Security jobs? The most popular types of Tesla Security jobs are:
Site Reliability Engineer, HPC Infrastructure

Site Reliability Engineer, HPC Infrastructure

Tesla

Palo Alto, CA • On-site

$67 - $89.25/hr

Full-time

Posted 27 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 678 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

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.

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