Principle Engineer - HPC Architect

Overview

Principal Engineer (HPC Architect) role at Wells Fargo, acting as an advisor to leadership on complex applications, network, information security, database, operating systems, or web technologies, and leading large-scale distributed computing and GPU-accelerated platform strategy.

What you'll do

• Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
• Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering long-term, large-scale solutions that require vision, creativity, innovation, advanced analytical and inductive thinking
• Translate advanced technology experience, in-depth knowledge of the organization's tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
• Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
• Maintain knowledge of industry best practices and new technologies and recommend innovations that enhance operations or provide a competitive advantage to the organization
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
• Architect and build large-scale distributed computing platforms that power model development, training, execution, and risk analytics workloads across cloud and hybrid environments, delivering high performance, resiliency, scalability, and operational excellence
• Lead GPU-accelerated computing strategy by designing and optimizing CUDA-based workloads, distributed GPU scheduling, high-performance data processing, and model execution frameworks to maximize utilization and reduce compute costs
• Drive technical direction for PyFARM and related model platforms, establishing architecture standards, platform patterns, observability, reliability engineering practices, and long-term roadmaps for model risk and quantitative analytics ecosystems
• Partner with quantitative researchers, model developers, data scientists, and platform engineering teams to enable secure, governed, and efficient execution of large-scale machine learning, simulation, and analytical workloads while ensuring regulatory and risk-management requirements are met
• Serve as a technical leader and multiplier across the organization, mentoring senior engineers, leading critical design reviews, influencing enterprise architecture decisions, and driving innovation in distributed systems, high-performance computing, AI infrastructure, and data-intensive platforms

What you'll need

• 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice to have

• 7+ years building distributed systems and platforms
• Deep expertise in distributed computing (Kubernetes, Spark, Ray, Dask, distributed schedulers, HPC, large-scale data platforms)
• Strong CUDA/GPU programming experience, including performance tuning and GPU orchestration
• Experience with cloud-native platforms (Azure preferred), containers, orchestration, and infrastructure automation
• Demonstrated principal-level influence with the ability to define technology strategy and drive adoption across multiple engineering organizations

Details

• Location: Bengaluru, India
• Posting end date: 21 Oct 2026; job posting may come down early due to volume of applicants