LLM Trainer - Cuda/C++ to Python migration

About Turing

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Role Overview:We are looking for experienced CUDA Developers to work on cutting-edge AI and machine learning projects. In this role, you will contribute to improving large language model (LLM) capabilities by solving complex coding problems, optimizing GPU-based workloads, reviewing model-generated code, and helping train AI systems to produce high-quality CUDA and parallel computing solutions. The ideal candidate should have strong expertise in CUDA, GPU programming, parallel computing, performance optimization, and Python-based machine learning ecosystems.

What does day-to-day look like

• Solve advanced CUDA and parallel computing problems involving GPU acceleration and performance optimization.
• Review, evaluate, and improve AI-generated CUDA/C++/Python code.
• Analyze GPU kernel performance and optimize algorithms for throughput, latency, and memory efficiency.
• Work with CUDA libraries and frameworks such as Thrust, cuBLAS, and cuDNN.
• Develop high-quality prompts, solutions, explanations, and evaluations to improve AI model reasoning and coding performance.
• Debug and resolve issues related to CUDA kernels, memory management, synchronization, and resource utilization.
• Collaborate with cross-functional teams working on AI model training and evaluation.
• Stay updated with the latest developments in CUDA, GPU architectures, and parallel computing best practices.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
• 5+ years of professional software development experience with strong focus on CUDA development.
• Strong proficiency in C/C++.
• Strong hands-on experience with Python, especially in scientific computing using PyTorch and NumPy.
• Experience working with CUDA version 12.3 or above.
• Strong understanding of GPU programming concepts, parallel computing, and performance optimization.
• Experience optimizing code for efficient resource utilization and high-performance execution.
• Familiarity with CUDA frameworks and libraries such as Thrust, cuBLAS, and cuDNN.
• Ability to solve complex technical problems independently.
• Strong written and verbal communication skills.
• Prior experience contributing to AI/ML systems or LLM-related projects is a plus.

Perks of Freelancing With Turing

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details

• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
• Engagement  type  : Contractor assignment (no medical/paid leave)
• Duration of contract : 3 months; [expected start date is next week] Evaluation Process (approximately 60 mins):One round of Technical interviews