CA
Listed on Cognition AI’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role focuses on building the distributed systems and infrastructure that enable AI research at scale, owning everything from GPU cluster management to experiment orchestration. It suits experienced systems engineers who understand both distributed computing fundamentals and deep learning frameworks deeply enough to anticipate researcher needs and eliminate bottlenecks.
Our summary, not Cognition AI’s wording. The full posting is on their site.
What they ask for
Required
- Deep experience building and operating distributed training systems for large models
- Strong systems engineering fundamentals including distributed systems, networking, and storage
- Proficiency in Python and C++
- Experience with PyTorch or equivalent deep learning framework at systems level
- Hands-on GPU performance profiling and memory optimization
- Experience implementing or optimizing parallelism strategies for large model training
- Strong debugging instincts for complex distributed systems
- ML knowledge sufficient to engage substantively with researchers
Nice to have
- PhD or equivalent advanced credential