About The Position

Odyssey is an AI lab pioneering interactive video models: models that dream video you can watch and interact with in real-time. This new form of generative media will power the next generation of gaming, film, education, social media, advertising, training, companionship, simulation, and entirely new applications. Odyssey was founded in late 2023 by Oliver Cameron and Jeff Hawke, leaders in frontier AI with roots in generative models and autonomous systems. Since then, we’ve recruited a world-class team of researchers from DeepMind, Waymo, Tesla, Meta, Cruise, Wayve, Oxford, and Cambridge. Ed Catmull, the founder of Pixar, serves on our board and we’ve raised significant venture capital from leading funds like GV and EQT, with additional support from key leaders and researchers at OpenAI, DeepMind, Meta, and Midjourney. We are looking for an engineer who thrives on building the engines that make groundbreaking research and products possible. You think in systems, love performance, and get energy from turning theoretical bottlenecks into beautifully efficient reality. You’re excited to design infrastructure not just for scale, but for speed, creativity, and discovery. You want to build the compute substrate that lets Odyssey’s models imagine, act, and interact in real time..

Requirements

  • Strong programming skills (e.g., Python, Go, or similar) and a solid understanding of software engineering best practices.
  • Deep, hands-on experience with containerization (e.g., Docker), container orchestration (Kubernetes) and Infrastructure as Code (Terraform).
  • Proven experience building and managing large-scale, distributed systems with GPU computational workloads (e.g., compute platforms, data pipelines, or high-availability services).
  • Experienced in designing infrastructure for ML workloads where performance, parallelism, and data movement are critical.
  • A collaborative mindset and excellent communication skills, with a passion for building developer-friendly platforms.
  • Motivated by building for the frontier: you want to shape the compute and infrastructure foundation of a lab redefining how people create and interact with media.

Responsibilities

  • Develop and operate our low-latency model inference platform, ensuring high availability, scaling, and efficient resource utilization for Odyssey’s products.
  • Engineer and scale our core data processing infrastructure (e.g., Flyte, Ray with k8s) to handle petabyte-scale datasets.
  • Design, build, and maintain our large-scale, GPU-based training clusters for deep learning, focusing on high throughput and reliability.
  • Automate infrastructure provisioning, configuration, monitoring, and alerting using Infrastructure as Code (IaC) principles.
  • Drive performance tuning, cost optimization, and reliability improvements across the entire stack.
  • Collaborate closely with researchers and product developers to understand their requirements, optimize their workflows, and improve platform usability.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

11-50 employees

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