Odyssey is pioneering world models, the next frontier of artificial intelligence. By learning from the real-world, Odyssey is training a new kind of generative model, capable of generating cinematic, interactive worlds in real-time. Odyssey’s mission is to reinvent film, gaming, and beyond.
Odyssey was founded in late 2023 by Oliver Cameron (Cruise, Voyage) and Jeff Hawke (Wayve, Oxford AI PhD), two veterans of self-driving cars and AI. They’ve since recruited a world-class team of AI researchers from Cruise, Waymo, Wayve, Tesla, Microsoft, Meta, NVIDIA, and graphics researchers from EA, Ubisoft, and Valve.
Odyssey has raised significant venture capital from GV, EQT Ventures, Air Street Capital, DCVC, Elad Gil, Garry Tan, Soleio, Jeff Dean, Kyle Vogt, Qasar Younis, Guillermo Rauch, Soumith Chintala, and researchers from OpenAI, DeepMind, Meta, and Midjourney. Ed Catmull, the founder of Pixar, serves on Odyssey’s board.
We're seeking a talented engineer passionate about advancing AI models. We're building inference infrastructure to scale to hundreds of thousands of users within a year. Your focus will be ensuring our models deliver exceptional speed, reliability, and scalability while optimizing efficiency to minimize TFLOPS per user.
Who You Are
8+ years of software engineering experience, with significant work in ML Performance
Deep insight into modern machine learning architectures with a natural instinct for performance optimization, particularly inference
Track record of owning projects end to end
Problem-solving mindset with the ability to acquire new skills as needed
Proficiency with PyTorch (or TF/JAX), as well as NVIDIA GPU ecosystems and optimization stacks
Highly metric-based
Strong Python and C++ skills
Bonus
Experience optimizing kernels with Triton or CUDA
Enjoy completely reimagining and reconstructing production systems
Experience with large models (>1B parameters)
You think a peregrine falcon is slow
What You’ll Do
Optimize models that will be used in real-time by hundreds of thousands of users
Partner with our elite team of ML researchers and engineers
Develop sophisticated tools to identify performance bottlenecks and stability issues
Pioneer innovative approaches, frameworks, and system designs that enhance performance metrics across our model inference infrastructure
Have significant autonomy in technical decisions
Use the latest-generation GPUs