GPU Performance Engineer (AI)

Location: US, UK, Singapore; remote

Company

hirify.global is a globally distributed foundation model startup building multimodal artificial intelligence for organizations and businesses.

What you will do

• Design and implement improvements to large-scale model training infrastructure.
• Make technical decisions that optimize model performance.
• Improve post-training workflows, including reinforcement learning and fine-tuning.
• Increase the efficiency and scalability of model serving infrastructure.
• Profile GPU-accelerated workloads, identify bottlenecks, and implement performance tuning techniques.

Requirements

• Strong engineering skills with fluency in Python and PyTorch or comparable frameworks.
• Experience implementing and training large deep learning models.
• Experience writing and debugging low-level GPU code with CUDA and C++.
• Experience scaling GPU jobs on large compute clusters such as Slurm or Kubernetes.
• Demonstrated ability to analyze and optimize GPU-accelerated workloads.

Culture & Benefits

• Remote-first work environment with a globally distributed team.
• Collaboration with engineers, researchers, and operators from leading AI organizations and startups.
• Access to advanced software and hardware for training state-of-the-art models.
• Open and inclusive culture that values diverse perspectives.
• Five weeks of paid leave and comprehensive healthcare benefits, including vision and dental.
• Visa assistance, including H1B and OPT transfers, is available for US employees.