JPMorgan Quantum Algorithm Research - Lead Software Engineer 

United States, New York, New York 

221594663

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.