Solving the most consequential problem in the deployment of frontier AI
The latest generation of AI models achieve breakthrough performance by using vastly more tokens to solve complex problems. As frontier models become more sophisticated, demand is compounding faster than today’s infrastructure can scale. Even the most dominant players, with full-stack control across silicon, software, and supply chains, are unable to solve this within the existing architecture. Inherent constraints in physical design and packaging mean a GPU-based approach is incapable of simultaneously delivering high throughput and high interactivity at low cost. Continuing AI’s advance and making it available to everyone requires a new compute paradigm. One that can overcome the fundamental limits of memory, energy, and speed that define today’s systems. If you like working on difficult and consequential problems, we want you at OLIX. We have offices in London, Austin, Toronto, and Bristol. Check out our careers page at olix.com/careers
Sur place · Toronto
Own and scale the build, test, and CI pipelines for the DX-1 software stack, ensuring fast and trustworthy feedback. Manage a heterogeneous fleet of cloud and on-prem resources to optimize the utilization of scarce hardware.
Sur place · Toronto
Manage the end-to-end recruitment process for engineering, technical leadership, and operations roles. Partner with hiring managers to build scalable sourcing strategies and enhance the company's employer brand.
Sur place · Toronto
Support people managers in day-to-day HR matters and guide them in becoming effective leaders. Maintain people-practices and processes to foster a high-performance culture and ensure legal compliance in the UK and US.