JPMorganChase
The Principal Software Engineer - LLM Optimization at JPMorganChase leads the firm's technical strategy for large language model inference performance, focusing on optimization, benchmarking, and efficiency at scale. This high-visibility role involves designing quantization experiments, driving speculative decoding strategies, and building GPU efficiency scorecards to ensure fast, cost-effective, and production-ready AI deployments. The position requires deep expertise in LLM inference systems, GPU architecture, and responsible AI governance to influence senior leadership and drive platform improvements.
JPMorgan Chase is a leading global financial services firm that provides a full range of banking, investment banking, asset and wealth management, and payments and treasury services to consumers, businesses, governments, and institutions. Its consumer business operates under the Chase brand, offering retail banking, credit cards, mortgages and auto loans, while J.P. Morgan delivers corporate & investment banking, markets, securities services and asset management. Headquartered in New York, the firm combines scale, technology and risk management to serve clients worldwide. It is one of the largest banks by assets and is widely recognized for its capital markets expertise and integrated financial solutions.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for JPMorganChase.
JPMorganChase didn’t post a salary, so this is our estimate from similar listings.