
Member of Technical Staff (GPU Performance Engineer)
About the role
Ideal Experience
• Strong engineering skills with fluency in Python and PyTorch (or other frameworks).
• Proven experience implementing and training large deep learning models.
• Experience writing and debugging low-level GPU code (CUDA, C++).
• Experience scaling up GPU jobs using large-scale compute clusters (e.g., Slurm or Kubernetes).
• Demonstrated ability to analyze and optimize the performance of GPU-accelerated workloads, including profiling, identifying bottlenecks, and implementing performance tuning techniques.
Reka's Mission
Why Reka?
An Elite Team
Cutting-edge Infrastructure
Inclusive and Open Culture
Generous Benefits
Visa Support
Skills
Who can apply
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