Turing STEM Material Science & CUDA Engineer

About Turing

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.

Role Overview

This role supports leading LLM companies to improve frontier model performance by generating high-quality SFT/RLHF datasets translating CUDA/C++ code into equivalent Python implementations using PyTorch and NumPy.

Key Responsibilities

• Translate CUDA/C++ code into equivalent Python implementations using PyTorch and NumPy, ensuring logical and performance parity.
• Analyze CUDA kernels and GPU-accelerated code for structure, efficiency, and function.
• Evaluate LLM-generated translations of CUDA/C++ code to Python, providing technical feedback and corrections.
• Participate in RLHF workflows, ranking LLM responses and justifying ranking decisions clearly.

Requirements

• 5+ years of overall work experience, with at least 3 years in Python and 2+ years in CUDA/C++.
• Strong hands-on experience in PyTorch, NumPy, GPU computation, and parallelism.