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Software Engineer, Grok Chat Model

Xai

Palo Alto, CA permanent

Posted: March 5, 2026

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Job Description

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

About the Role

You will join the Grok Chat Model team, focused on the foundational Grok models powering chat. We advance reasoning-first capabilities—from Grok 1.5 through Grok 3 and beyond—shifting from basic question-answering to versatile, reliable intelligence useful across engineering, law, medicine, and any knowledge domain. With massive compute and a mission-driven grind, we build models users can count on for truthful, high-utility outputs in an everything-app future.

Drive the core models behind Grok's chat experience, enabling breakthroughs in reasoning, multi-modal tasks, and broad applicability. Contribute to a massive transformation where knowledge work multiplies 10x in the coming months. We're hiring intelligent, execution-focused people for this high-intensity environment—interstellar ambitions demand exceptional talent in a flat, low-overhead culture where smart people get shit done without bureaucracy.

Responsibilities

• Innovate on frameworks for large-scale model experimentation to push reasoning and utility frontiers rapidly.

• Collaborate with product and infra teams to integrate advanced models into seamless chat systems.

• Develop and optimize scalable inference and training pipelines for production reliability at massive scale.

• Build data infrastructure to leverage real-time signals and datasets for continuous model improvement.

• Own end-to-end initiatives from research ideation to deployment, ensuring models deliver dependable, transformative value.

Required Qualifications

• Proactive self-starter passionate about AI's potential to amplify humanity and understand the universe.

• Expert in Python or Rust, with deep experience in scalable AI systems and large-scale data handling.

• Proven in building experimentation frameworks or infrastructure for frontier language models at consumer scale.

• Strong fundamentals, with track record shipping high-performance, reliable AI-powered features.

• Thrives in a grind environment with smart, passionate teammates—ready to deliver excellence without overhead.

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:

• Coding assessment in a language of your choice.

• Systems hands-on: Demonstrate practical skills in a live problem-solving session.

• Project deep-dive: Present your past exceptional work to a small audience.

• Meet and greet with the wider team. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet.

Annual Salary Range

$180,000 - $440,000 USD

Benefits

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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