Principal Software Engineer - High Performance Computing

JPMorgan Chase & Co.; Seattle (WA); On-site; USD 140,000 - 180,000; Full time

Job summary

A leading financial institution in Seattle is seeking a Principal Software Engineer to enhance core technologies and lead agile teams. The role demands expertise in software engineering with a focus on high-performance computing and AI/ML applications. Candidates should have extensive experience in system design and development, with a strong background in programming languages like Python and C/C++. This position champions diversity and collaboration across teams, ensuring the delivery of cutting-edge technology solutions.

Qualifications

• 7+ years applied experience in software engineering.
• Experience in deep learning, particularly large language models.
• Familiarity with HPC software and resource schedulers.

Responsibilities

• Create complex and scalable coding frameworks.
• Develop secure and high-quality production code.
• Advise cross-functional teams on technological matters.
• Support the developer community in learning from HPC.

Skills

System design

Application development

High-performance computing

Deep learning

Python programming

C/C++ programming

Education

Master’s Degree in Computer Science

PhD in a related discipline

Tools

Kubernetes

CUDA

PyTorch

LangChain

Job description

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.

As a Principal Software Engineer at JPMorganChase within the Core Foundational Platforms team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best‑in‑class outcomes across various technologies to support one or more of the firm’s portfolios. You will lead virtual and direct teams of developers, teaching them best practices in high‑performance computing (HPC) practices that intersect with AI/ML.Thus, you are collaborative—especially since you will work closely with cross‑functional teams comprised of data scientists, business analysts and other engineers. You will infuse the JPMorgan developer community with an appreciation of the impact that HPC can have by delivering software that consistently outperforms other platforms. You will deliver a variety of options to serve our various business needs--sometimes driven by low‑latency; other times driven by throughput or low power.

Job responsibilities

• Creates complex and scalable coding frameworks using appropriate software design frameworks
• Develops secure and high‑quality production code, and reviews and debugs code written by others
• Advises cross‑functional teams on technological matters within your domain of expertise
• Serves as the function’stechnical, go‑to subject matter expert
• Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
• Creates durable, reusable software frameworks that are leveraged across teams and functions
• Influences leaders and senior stakeholders across product, data science and technology teams
• Champions the firm’s culture of diversity, opportunity, inclusion, and respect
• 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 7+ years applied experience
• Hands‑on practical experience delivering system design, application development, testing, and operational stability
• Advanced knowledge of software application development and technical processes with considerable in‑depth knowledge in one or more technical disciplines (e.g. LLMs, High-performance computing (HPC), etc.)
• Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
• Ability to present and effectively communicate with Senior Leaders and Executives
• Master’s Degree in Computer Science
• 8+ years of experience in high‑performance computing software
• 5+ years of experience with at least one type of accelerator
• 3+ years of experience in deep learning, particularly large language models
• Deep familiarity with HPC software (e.g., NCCL, MPI) and resource schedulers (e.g., Kubernetes, SLURM)
• Strong programming skills in Python, scripting, C, C++ with experience in AI/ML frameworks like PyTorch and LangChain

Preferred qualifications, capabilities, and skills

• PhD preferred (Computer Science, Computer Engineering, Mathematics, or related discipline).
• Practical cloud native experience
• Experience in large organizations and regulated industries is a plus
• Hands‑on experience with CUDA for GPU programming and performance optimization preferred.
• Excellent communication skills and the ability to work collaboratively in a dynamic team environment
• Publish and support re‑usable patterns to optimize training and inference of ML models on various architectures
• Experience in high‑performance computing within national labs or academic research environments, including large‑scale distributed systems and accelerator‑based workloads.

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase’s review of criminal conviction history, including pretrial diversions or program entries.