# Principal Engineer- High-Performance Computing at Wells Fargo

Wells Fargo is hiring a Principal Engineer- High-Performance Computing in Bengaluru, India. Level rates it Builds AI ●●●●; you can [apply on Level](https://jobsbylevel.com/go/9cb4b477-fbe5-451b-8588-035d2d54aa00?utm_medium=ai-agent).

AI Level 4, AI centrality 85 out of 100. Bengaluru, India.

## Details

- Company: [Wells Fargo](https://jobsbylevel.com/companies/wells-fargo)
- AI level: AI Level 4 (score 85 out of 100)
- Location: Bengaluru, India
- Posted: October 15, 2026
- Apply: https://jobsbylevel.com/go/9cb4b477-fbe5-451b-8588-035d2d54aa00?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/principal-engineer-high-performance-computing-at-wells-fargo-679dde

## Description

About this role: Wells Fargo is seeking a Principal Engineer In this role, you will: 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 solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking Translate advanced technology experience, an in-depth knowledge of the organizations 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 recommends 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 Required Qualifications: 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education experience, training, military experience, education Desired Qualifications: 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. Job Expectations: 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. Posting End Date: 29 Oct 2026 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk

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Source: https://jobsbylevel.com/jobs/principal-engineer-high-performance-computing-at-wells-fargo-679dde

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