Software Engineer, Imagine Product

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>About the Role</h3> <p>The Imagine Product team is redefining AI-driven media experiences for Grok users worldwide. In this role, you’ll build and scale robust, high-performance systems that power immersive, multi-modal media interactions—leveraging cutting-edge AI to enable seamless generation, processing, and delivery of images, video, audio, and beyond. Your work will drive engaging, real-time user experiences that captivate and delight millions, turning advanced multimodal models into production-grade features. If you’re a driven problem-solver passionate about AI, media technologies, and creating scalable solutions that shape the future of consumer AI, this is your opportunity to make a lasting impact.</p> <h3>Responsibilities</h3> <ul> <li>Design and implement scalable systems to support Grok's AI-driven media experiences, ensuring high performance, reliability, and low-latency at global scale.</li> <li>Architect robust infrastructure for real-time multi-modal interactions, including handling generation requests, media processing, and seamless integration with frontend and model serving layers.</li> <li>Build and optimize large-scale data pipelines to ingest, process, and analyze multi-modal data (images, video, audio), fueling continuous improvement and personalization of Grok's media capabilities.</li> <li>Collaborate closely with frontend engineers, AI researchers, and product teams to deliver captivating, media-rich features and end-to-end user experiences.</li> <li>Own full-cycle development of solutions: from system design and prototyping to deployment, monitoring, observability, and iterative refinement.</li> <li>Deliver production-ready, maintainable code that powers features reaching hundreds of millions of users.</li> </ul> <h3>Required Qualifications</h3> <ul> <li>Proficiency in Python or Rust, with a strong track record of writing clean, efficient, maintainable, and scalable code.</li> <li>Experience designing and building systems for consumer-facing products, with emphasis on performance, reliability, and handling high-throughput workloads.</li> <li>Hands-on expertise in large-scale data infrastructure and pipelines, particularly for multi-modal or media-heavy AI applications.</li> <li>Proven ability to deliver robust, production-grade solutions to millions of users while maintaining high standards of quality and uptime.</li> <li>Strong problem-solving skills and a passion for turning innovative ideas into high-impact, scalable realities.</li> <li>Deep enthusiasm for AI and media technologies, with a commitment to building user-focused products that inspire and engage.</li> </ul> <h3>Preferred Qualifications</h3> <ul> <li>Experience with real-time systems, inference serving, or multi-modal data processing at scale.</li> <li>Familiarity with distributed systems, containerization (e.g., Kub ... (truncated, view full listing at source)
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