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JPMorgan Quantum Algorithm Research - Lead Software Engineer 
United States, New York, New York 
221594663

02.07.2024

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 industry 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.