Principal Engineer- High-Performance Computing

Job 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 mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.