Reka08.01.2026
Специалист по технической поддержке (GPU Performance Engineer)
Зарплата не указана
РЫНОК
11 092 ₽медиана по профессии
QA Performance / Load · 11 вакансий с указанной зарплатой
5 583половина предложений: 7 716–46 221369 400
Работодатель не указал зарплату — сравните с рынком сами.
Полная занятостьУдалёнка
Обязанности
- 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
Требования
- 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
Условия
- 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)