Reka01/08/2026
Специалист по технической поддержке (GPU Performance Engineer)
Salary not specified
MARKET
11,962 ₽median for this role
QA Performance / Load · 12 jobs with disclosed pay
5,583half of the offers: 8,225–109,344369,400
The employer didn't disclose pay — compare with the market yourself.
Полная занятостьУдалёнка
Responsibilities
- 01Design and implement improvements to training infrastructure
- 02Contribute to technical decisions that optimize model performance
- 03Work on post-training processes including reinforcement learning and fine-tuning
- 04Improve efficiency and scalability of model serving infrastructure
Requirements
- 01Strong engineering skills with fluency in Python and PyTorch
- 02Proven experience implementing and training large deep learning models
- 03Experience writing and debugging low-level GPU code (CUDA, C++)
- 04Experience scaling up GPU jobs using large-scale compute clusters (e.g., Slurm or Kubernetes)
- 05Demonstrated ability to analyze and optimize GPU-accelerated workloads
What we offer
- 01Remote-first work environment
- 02Five weeks of paid leave
- 03Comprehensive healthcare benefits (including vision and dental)
- 04Visa assistance for US employees (H1B and OPT transfers)