Software Engineer, Grok Chat Model

xAI
Palo Alto, CA$180k – $440kPosted 7 March 2026

Job Description

<div class="content-intro"><h3><strong><span style="font-family: arial, helvetica, sans-serif;">About xAI</span></strong></h3> <p><span style="font-family: arial, helvetica, sans-serif;">xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. </span><span style="font-family: arial, helvetica, sans-serif;">Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. </span><span style="font-family: arial, helvetica, sans-serif;">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. </span><span style="font-family: arial, helvetica, sans-serif;">All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.</span></p></div><h3><strong>About the Role</strong></h3> <p>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.</p> <p>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.</p> <h3><strong>Responsibilities</strong></h3> <ul> <li>Innovate on frameworks for large-scale model experimentation to push reasoning and utility frontiers rapidly.</li> <li>Collaborate with product and infra teams to integrate advanced models into seamless chat systems.</li> <li>Develop and optimize scalable inference and training pipelines for production reliability at massive scale.</li> <li>Build data infrastructure to leverage real-time signals and datasets for continuous model improvement.</li> <li>Own end-to-end initiatives from research ideation to deployment, ensuring models deliver dependable, transformative value.</li> </ul> <h3><strong>Required Qualifications</strong></h3> <ul> <li>Proactive self-starter passionate about AI's potential to amplify humanity and understand the universe.</li> <li>Expert in Python or Rust, with deep experience in scalable AI systems and large-scale data handling.</li> <li>Proven in building experimentation frameworks or infrastructure for frontier language models at consumer scale.</li> <li>Strong fundamentals, with track record shipping high-performance, reliable AI-powered features.</li> <li>Thrives in a grind environment with smart, passionate teammates—ready to deliver excellence without overhead.</li> </ul> <h3><strong>Interview Process</strong></h3> <p>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:</p> <ol> <li>Coding assessment in a language of your choice.</li> <li>Systems hands-on: Demonstrate practical skills in a live problem-solving session.</li> <li>Project deep-dive: Present ... (truncated, view full listing at source)
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