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© All Rights Reserved. ApplyBlast.com
JPMorganChase
This role serves as the firm's deepest technical voice on LLM inference performance, owning optimization strategy, benchmarking rigor, and efficiency at scale for production AI workloads. The position involves designing quantization experiments, driving speculative decoding strategies, and maintaining a GPU efficiency scorecard to ensure models are fast, cost-efficient, and production-ready. You will collaborate with senior engineering leadership to shape platform evolution and apply agentic AI-enabled workflows to improve delivery speed and operational outcomes.
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
View leadership team, funding history,
and employee contacts for JPMorganChase.