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This listing doesn't post a salary. Most similar roles pay
$169,550–$214,625.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1226 open roles
on FindRole.
Listed pay typically runs
$156,750–$215,000
across 5 roles with salary data.
As a Principal Software Engineer - High Performance Computing within the Core Foundational Platforms team, you will provide engineering excellence to build and deliver trusted, scalable technology products. You will design complex software frameworks, develop production code, and lead technical design reviews while mentoring other developers. Your daily work involves creating reusable performance patterns and benchmarking approaches to optimize model training and inference across various compute architectures. You will utilize Python, C, C++, PyTorch, and CUDA to solve problems in high-performance computing and deep learning, specifically regarding large language models. You will also architect agentic AI-enabled engineering workflows to improve delivery speed and code quality. This role focuses on balancing low-latency, throughput, and efficiency while ensuring security, resiliency, and responsible AI use across the software development life cycle.
What does a Software Engineer earn in California?
Median $214500 from 1193 postings across 76 companies.
Design and implement complex, scalable software frameworks using appropriate architecture patterns.
Develop secure production code and perform code reviews, debugging, and improvements for other engineers.
Lead technical design reviews and advise cross-functional partners on domain-specific solutions.
Create reusable performance patterns and benchmarking approaches to optimize model training and inference.
Define and use telemetry and measurable performance indicators to guide hardware and software decisions.
Mentor the developer community in high-performance computing practices for AI/ML.
Architect and govern agentic AI-enabled engineering workflows to improve delivery speed and code quality.
Apply software development life cycle tools and automation to improve value at scale.
What we're looking for
Formal training or certification on software engineering concepts and 10+ years of applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Advanced knowledge of software application development with in-depth expertise in disciplines like large language models or high-performance computing.
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.
Strong programming skills in Python and at least one systems language (C or C++), plus experience with AI/ML frameworks like PyTorch.
Demonstrated experience designing and leading adoption of agentic AI-enabled development practices across teams.
PhD in Computer Science, Computer Engineering, Mathematics, or a related discipline (preferred).
Practical cloud native experience (preferred).
Hands-on experience with CUDA for GPU programming and performance optimization (preferred).
C++
Python
C
Linux
ARM
PowerPC
x86
TCP
UDP
Machine Learning
Unit Testing
Performance Optimization
Computer Architecture
Networking Protocols
Hardware-in-the-loop
InfiniBand
GPU Interconnect
high‑performance computing (HPC
Python
C++
C
C#
Java
JavaScript
Linux
Distributed Systems
PCIe
Firmware
Drivers
Telemetry
Root Cause Analysis
Automation
Subnet Manager