EDUCATION:

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).

EXPERIENCE:

• 10+ years of experience in performance engineering, with a focus on large-scale distributed systems.
• 2+ years of experience working with AI/ML technologies
• Proven experience in performance testing, profiling, and analysis of complex software systems.
• Deep understanding of NLP architectures, training, and inference.
• Experience with vector databases and search technologies.
• Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Strong programming skills in python.
• Experience with performance analysis tools (e.g., profilers, debuggers, monitoring tools).

SKILLS:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced and dynamic environment.
• Passion for AI and a desire to push the boundaries of performance engineering#LI-Remote

ABOUT THIS ROLE

Writer is seeking a highly skilled and motivated Principal Performance Engineer to lead the performance optimization of our cutting-edge Generative AI technology stack. This role is critical in ensuring the scalability, efficiency, and reliability of our Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) systems. You will be a key driver in identifying and resolving performance bottlenecks, optimizing resource utilization, and ensuring a seamless user experience. You will work closely with our AI research, software engineering, and infrastructure teams to deliver world-class AI solutions.