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Software Engineer (Imagine Product)

xAI · Palo Alto, United States

External listingfull-time5 days ago

About The Role

Join the Imagine Product team as a Software Engineer, where you'll build and scale high-performance systems that power immersive, AI-driven media experiences for Grok users worldwide. Your work will involve designing and implementing scalable systems, optimizing data pipelines, and collaborating closely with frontend engineers, AI researchers, and product teams. You'll have the opportunity to make a lasting impact on the future of consumer AI.

  • Design and implement scalable systems to support Grok's AI-driven media experiences, ensuring high performance, reliability, and low-latency at global scale.
  • 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.
  • Collaborate closely with frontend engineers, AI researchers, and product teams to deliver captivating, media-rich features and end-to-end user experiences.
  • Proficiency in Python or Rust, with a strong track record of writing clean, efficient, maintainable, and scalable code
  • Deep enthusiasm for AI and media technologies, with a commitment to building user-focused products that inspire and engage
  • Experience designing and building systems for consumer-facing products, with emphasis on performance, reliability, and handling high-throughput workloads
  • Proven ability to deliver robust, production-grade solutions to millions of users while maintaining high standards of quality and uptime
  • Strong problem-solving skills and a passion for turning innovative ideas into high-impact, scalable realities
  • Hands-on expertise in large-scale data infrastructure and pipelines, particularly for multi-modal or media-heavy AI applications
  • Experience with real-time systems, inference serving, or multi-modal data processing at scale
  • Familiarity with distributed systems, containerization (e.g., Kubernetes), observability tools, or performance tuning for AI workloads
  • Background in AI-driven consumer products or media generation technologies
  • Track record collaborating across engineering, research, and product teams to ship delightful features quickly

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