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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Software Engineer - High Performance Computing - **Company:** JPMorgan Chase & Co. - **Location:** Seattle, WA, United States - **Experience:** Experienced - **Salary:** $204,250.0 - $285,000.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Artificial Intelligence, C++ (Programming Language), Nvidia CUDA, Computer Programming, Computer Engineering, Distributed Systems, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Software Engineering, Scripting, High Performance Computing, Pytorch, Large Language Models, Deep Learning, Gpu Programming, Kubernetes, Information Technology, Production Code, Slurm - **Published:** September 4, 2026 - **Apply:** https://dejobs.org/x/x/15B14968DB51480CA2C5EF12073999F4/job/ ## About the Role * 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. ## Description * 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 ## Related Videos - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [JavaScript? No. Java Scripts! - Scripting with Java](https://www.wearedevelopers.com/videos/2094-javascript-no-java-scripts-scripting-with-java) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)