Software engineer serp_jobs.h1.location_city

About this role :

We are seeking a High-Performance Computing (HPC) Engineer with experience in Machine Learning to optimize and scale AI / ML workloads. The ideal candidate will have experience with distributed training, model parallelization, GPU acceleration, and performance optimization across diverse hardware platforms. Experience or strong interest in Large Quantitative Models of High-Frequency Time Series is a strong advantage.

Learn more about the career areas and lines of business at wellsfargojobs.com

In this role, you will :

• Design, develop, and optimize HPC solutions for large-scale ML workloads.
• Optimize data pipelines for high-throughput model training (Dask, Ray, NVIDIA RAPIDS)
• Profile, optimize, and accelerate deep learning models on GPUs, TPUs, and multi-node clusters.
• Work on low-level performance tuning - vectorization, memory optimization.
• Develop and benchmark custom kernels for AI models using CUDA, ROCm, OpenACC, OpenMM.
• Implement distributed training strategies using MPI, DeepSpeed, PyTorch / XLA
• Collaborate with ML researchers and engineers to deploy scalable ML models.
• Research and implement new HPC techniques.
• Evaluate and adopt new technologies like Distributed Ledger or Blockchain
• Create new solutions to be deployed along existing enterprise software
• Work as part of team that follows the agile methodology
• Lead and mentor junior developers who are learning advanced technologies
• Lead or participate in complex initiatives on selected domains
• Assure quality, security and compliance for supported systems and applications
• Serve as a technical resource in finding software solutions
• Review and evaluate user needs and determine requirements
• Provide technical support, advice, and consultation with the issues relating to supported applications
• Create test data and conduct interfaces and unit tests
• Design, code, test, debug and document programs using Agile development practices
• Understand and participate to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
• Conduct research and resolve problems in relation to processes and
• recommend solutions and process improvements
• Assist other individuals in advanced software development
• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals.
• Design, develop, and optimize HPC solutions for large-scale ML workloads.
• Optimize data pipelines for high-throughput model training (Dask, Ray, NVIDIA RAPIDS)
• Profile, optimize, and accelerate deep learning models on GPUs, TPUs, and multi-node clusters.
• Work on low-level performance tuning - vectorization, memory optimization.
• Develop and benchmark custom kernels for AI models using CUDA, ROCm, OpenACC, OpenMM.
• Implement distributed training strategies using MPI, DeepSpeed, PyTorch / XLA
• Collaborate with ML researchers and engineers to deploy scalable ML models.
• Research and implement new HPC techniques.

Required Qualifications :

Desired Qualifications :

Job Expectations :

Pay Range :

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates- $ 159,000.00 - $ 254,000.00

For NY and CA locations only : $ 191,000.00 - $ 305,000.00

Locations :

Benefits :

Posting End Date : 27 Aug 2025

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

159,000.00 - $305,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

Posting End Date : 27 Aug 2025

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.

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.