Site Reliability Engineer, xAI
xAI Technical Operations
More information about location
Office located in Palo Alto, CA
Building artificial intelligence
Be an early applicant
Building artificial intelligence
1001+ employees
Be an early applicant
More information about location
Office located in Palo Alto, CA
1001+ employees
Company mission
To build AI systems that can help humanity understand the world better.
Role
Who you are
- AI is building at a furious pace with the latest hardware to help people understand the universe and we are in need of Site Reliability Engineers (SREs) who have at least 5+ years of experience in distributed, internet-scale environments, including on-prem and cloud-based infrastructure
- A minimum of 5 years of software, systems or reliability engineering experience
- Experience managing services in distributed, internet-scale *nix environments, including on-prem and cloud (e.g., AWS, GCP)
- Development experience in Python, Scala, Java, C, or C++
- Demonstrable knowledge of TCP/IP, HTTP, Networking and systems programming (e.g., bash and shell tools)
- Familiarity with containerization and orchestration tools (e.g., Kubernetes, Docker, Mesos) and systems management (e.g., Puppet, Chef, Ansible)
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience)
Desirable
- Experience in on-call rotations and incident response in high-stakes environments
- Experience with AI/ML infrastructure, large-scale GPU clusters
- Strong problem-solving skills and ability to thrive in a fast-paced, ambiguous setting
- Comfortable with deployment, support, monitoring, administration, and troubleshooting across on-prem, cloud and hybrid infrastructures
- Proven understanding of systems and application design, including operational trade-offs
What the job involves
- You will own the availability and reliability of xAI's infrastructure and core services, including detecting issues, problem management, incident management, and root cause analyses (RCAs)
- Engineers will own the availability of xAI infrastructure and its operations processes applying concepts like failure domains, blast radii, and canary testing
- You will be expected to participate in a team on-call rotation and to contribute to ushering xAI into the next generation of infrastructure management across multiple data centers and cloud environments
- Setting technical strategy and roadmap for infrastructure availability
- Automating monitoring, alerting, and troubleshooting for high-availability services, while working with legacy systems to scale, improve, or deprecate
- Owning incident response, problem management, and conducting thorough RCAs to prevent recurrence and drive continuous improvement
- Analyzing performance metrics and service health to identify, resolve, and mitigate bottlenecks or failures in distributed environments
- Ensuring security, scalability, and resilience of production infrastructure supporting AI workloads
Application process
- After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to an initial interview (45 minutes - 1 hour) during which a member of our team will ask some basic questions
- If you clear the initial phone interview, you will enter the main process, which consists of four interviews:
- Coding assessment in a language of your choice
- Site reliability and operations technologies
- Manager Interview
- Meet and greet with the team with a presentation of a large scale solution or problem you owned, start to finish
- Our goal is to finish the main process within one week. We don’t rely on recruiters for assessments. Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet
Our take
xAI is Elon Musk's venture into the world of artificial intelligence, and like all things Musk, it's going big. Its setting out to build AI that helps humanity understand the universe and its starting with Grok, its conversational AI chatbot already integrated into X (formerly Twitter). With access to real-time data and a powerful ecosystem of Musk-led companies, xAI is certainly pushing towards artificial general intelligence at serious scale.
Like all bold ventures, xAI has faced its share of controversy, from questions about regulation to the overlap across Musk's businesses. But fans are still seeing the bigger picture: an interconnected tech ecosystem where AI, social media, and space exploration feed into one another.
Recently, the company made headlines with its massive "Colossus" supercomputer project, powered by tens of thousands of Nvidia GPUs. While the data center's temporary power setup has faced environmental scrutiny, the scale of ambition is certainly undeniable. From launching tap-to-pay features on X to building one of the most powerful AI training systems on Earth, xAI is moving fast.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Jul 2025
$5bn
GROWTH EQUITY VC
Dec 2024
$6bn
SERIES C
Total funding: $17.1bn
Company benefits
- Health and wellness: Comprehensive health insurance including medical, dental, vision, and disability coverage
- Life and family: Life and AD&D insurance and fertility benefits to ensure our team’s well-being and peace of mind
- Flexible vacation: We work hard but avoid burn out. Take time off when you need it
- Visa sponsorship: We support international talent with visa sponsorship to join our team
- 401(k) plan: Retirement savings plan to secure your financial future
Company HQ
Downtown, Burlingame, CA
Leadership
Elon Musk
(Founder)Founder, Chairman, CEO, and CTO of SpaceX. CEO and Product Architect of Tesla. Chairman and CTO of X Corp, founder of the Boring Company, co-founder of Neuralink and OpenAI, and president of the Musk Foundation.
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