AI Engineer & Researcher – Pre-training Full-time

About xAI

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.

Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. Engineers are encouraged to work across multiple areas of the company, and as a result, all engineers and researchers share the title “Member of Technical Staff.”

We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important.

All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

xAI does not have recruiters. Every application is reviewed directly by a technical member of the team.
Tech Stack

• Python
• JAX and XLA
• Rust
• CUDA (C++ and Triton)

Location

The role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located near the Bay Area or open to relocation.
Focus

• Training trillion parameter neural networks at scale, as well as a variety of smaller specialized models.
• Profiling, debugging, and optimizing multi-host GPU utilization.
• Improving and innovating inference stack to serve millions of users.
• Rapidly implementing the latest state-of-the-art methods from the deep learning literature.
• Innovating new ideas that bring us closer to our goal: Developing AI systems that can accurately understand the universe and create new knowledge.

Ideal Experiences

• Building distributed training systems for AI models in HPC clusters.
• Configuring and troubleshooting hardware and operating-systems for maximum performance.
• Working with JAX/XLA for multi-host training.
• Writing custom CUDA kernels in either C++ or via Triton.

Interview 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 a 15 minute interview (“phone interview”) 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 technical interviews:

1. Coding assessment in a language of your choice.
2. Systems hands-on: Demonstrate practical skills in a live problem-solving session.
3. Project deep-dive: Present your past exceptional work to a small audience.
4. Meet and greet with the wider team.

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.
Annual Salary Range

$180,000 – $440,000 USD

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