We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Chief Technology Office’s Global Technology & Applied Research team, you serve as a seasoned member of an agile team to design and deliver production quality technology implementation in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple research areas within the team in support of the firm’s business objectives. You work in close collaboration with the quantum inspired algorithm research team.

Job responsibilities 

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develop high-quality production level software solutions for quantum inspired algorithms. Write high-quality documentation and unit tests for the software solutions. Optimize the software solutions for execution speed, memory efficiency and communication latency through algorithmic improvements and vectorization.  Work with the quantum-inspired algorithm researchers to identify bottlenecks in subroutines of the algorithms and devise methods to speed up the executions.  Identify dependencies in the code to ensure seamless execution in other environments.  Be able to benchmark the software solutions of the algorithms for any given business case against state of art solutions in the firm.  Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Contribute to JPMC’s IP by pursuing necessary protections of generated IP Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts with 5+ years of applied experience. Bachelor’s degree combined with 4+ years of industry experience in algorithm execution or a Master’s or Ph.D. degree in computer science, physics, math, engineering or related fields combined with 2+ years of industry experience. Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language -Proficiency in Python Demonstrated ability to maintain and develop algorithm software Experience leading software projects. Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience

Preferred qualifications, capabilities, and skills

Proficiency in C / Julia. Proficiency in C++ and Standard Template Library (STL). Experience with GPU acceleration and distributed programming of algorithms (CUDA, OpenCL, OpenMP, MPI, AVX). Experience in implementing data structures for randomized algorithms in big data settings (e.g., Sketching techniques, sampling techniques for numerical linear algebra) Experience in building tensor network libraries for applications in machine learning and optimization. Experience in running large scale Monte-Carlo simulations. Experience in accelerating annealing type algorithms using GPUs.  Experience in using FPGAs to accelerate algorithms across machine learning or optimization.  Experience in finance is a plus, though no prior familiarity with financial use cases is required.