Member of Technical Staff (GPU Performance Engineer)
Reka
WorldwideFully remoteFull TimeSenior, Lead, DirectorInformation Technology
Posted 3 months ago3mo agoApply link checked 8 hours ago
Why we think you can apply
- Hiring model
- Open worldwide · the employer states no country restriction
- Work from
- Anywhere, the UAE included
Posted 3 months ago · apply link checked 8 hours ago
About the role
Responsibilities
- Design and implement improvements to training infrastructure
- Contribute to technical decisions to optimize model performance
- Work on post-training processes including reinforcement learning and fine-tuning
- Improve the efficiency and scalability of model serving infrastructure
Requirements
- Strong engineering skills with fluency in Python and PyTorch
- Proven experience implementing and training large deep learning models
- Experience writing and debugging low-level GPU code (CUDA, C++)
- Experience scaling GPU jobs using large-scale compute clusters (Slurm or Kubernetes)
- Ability to analyze and optimize GPU-accelerated workloads through profiling and bottleneck identification
Benefits
- Five weeks of paid leave
- Comprehensive healthcare benefits including vision and dental
- Visa assistance including H1B and OPT transfers
About the Company
Reka is a globally distributed foundation model startup building useful multimodal artificial intelligence to empower organizations and businesses.
What we look for
- Python fluency
- PyTorch experience
- Large-scale model training
- CUDA/C++ debugging
- GPU profiling
PythonPyTorchCUDA
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