JPMorgan SR Lead Software Engineer - High Performance Computing 

United States, Washington, Seattle 

815619643

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, equity, inclusion, and respect
• Build scalable and efficient inferencing and training pipelines using HPC software techniques and patterns
• Working closely with business and data science teams, develop easy-to-use systems that serve their needs
• Using telemetry, create measurable frameworks for deciding amongst hardware and software options
• Publish and support re-usable patterns to optimize training and inference of ML models on various architectures
• Support developer community in learning lessons from high-performance computing (HPC) domain

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
• Advanced understanding of High-Performance Computing system architectures and network topologies
• Expertise in at least one accelerator type (e.g., GPU, FPGA) and experience mapping LLMs onto these accelerators
• Proficiency parallel programming and performance analysis of accelerator-based systems
• Familiarity with HPC software (e.g., NCCL, MPI) and resource schedulers (e.g., Kubernetes, SLURM)

Preferred qualifications, capabilities, and skills

• Strong programming skills in Python, scripting, C, C++ with experience in AI/ML frameworks like PyTorch and LangChain
• Master’s Degree in Computer Science (required)
• 8+ years of experience in high-performance computing software
• 5+ years of experience with accelerators and deep learning, particularly large language models
• Experience in large organizations and regulated industries is a plus
• Excellent communication skills and the ability to work collaboratively in a dynamic team environment