Principal Software Engineer

HCLTech is looking for a highly talented and self-motivated Principal Software Engineer to join it in advancing the technological world through innovation and creativity. The role involves serving as a technical lead on cross-functional products and ensuring the quality of architecture and design for high-performance systems.

Responsibilities:

• Serve as a technical lead on our most demanding, cross-functional products
• Ensure the quality of the architecture and design of distributed high-performance systems
• Functionally decompose complex problems into simple, straightforward building blocks
• Fully and completely understand system interdependencies and limitations
• Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices
• Leverage knowledge of internal and industry prior art in design decisions
• Effectively research and benchmark our technology against other competing systems in the industry
• Contribute intellectual property through patents
• Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members
• Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience

Requirements:

• Bachelor's degree in computer science or other engineering field
• 10+ years of experience
• Previous experience with leading the delivery of large-scale systems focused on large language models, including the data curations, modeling, and evaluation stages, including distillation, supervised fine-tuning, and policy optimization
• Previous deep experience with machine learning, transformer models, and frameworks like PyTorch or TensorFlow
• System Design and Architecture, AWS, GCP, OCP (principal-level), Data Engineering, Machine Learning, API Strategy
• Deliver into Economic and Pricing Modeling, Platform-as-a-Service (PaaS) concepts, Software-as-a-Service (SaaS) concepts
• Python, Java, C++, Large-scale data processing (Spark), Deep Learning Frameworks, Kubernetes, Containers, System Design, Distributed Systems
• Master's degree or higher preferred in Computer Science, Machine Learning, or a related field
• Recognized as an expert in a specific AI/ML domain (e.g., Large Language Models, Recommender Systems, Computer Vision)
• Experience influencing senior leadership and driving technical decisions across a large organization
• Previous experience mentoring and developing junior engineers