Series B AI lab building world models: AI that generates interactive, real-time worlds. $300m+ raised, $1.4bn+ valuation.
The job
- Make large-scale training and inference faster at the lowest level
- Write and tune custom kernels (CUDA, Triton)
- Scale and debug workloads across thousands of GPUs
You
- Low-level infrastructure or performance engineer
- Hands-on CUDA and/or Triton
- Have worked on clusters from hundreds to tens of thousands of GPUs
MTS - Infrastructure employer: This is Growth
This innovative company in Manchester is an excellent employer, offering a dynamic work culture that fosters creativity and collaboration. With competitive salaries, performance-based bonuses, and share options, employees are rewarded for their contributions while enjoying opportunities for professional growth in the rapidly evolving AI sector. Join a passionate team committed to transforming the recruitment industry and experience the unique advantages of working in a vibrant city known for its rich culture and community spirit.
