Lead Software Engineer, AI/ML Engineering, GPU ML Serving

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Seattle, WA
Posted: 7 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $212k

$173k most similar roles pay here $237k

This listing doesn't post a salary. Most similar roles pay $192,050–$231,150.

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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, AI/ML Engineering, GPU ML Serving

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Lead Software Engineer - AI/ML Engineering, GPU ML Serving joins the Commercial and Investment Banking team as a Software Engineer III to design and deliver secure, stable, and scalable technology products. This role involves executing software solutions, developing high-quality production code, maintaining algorithms, and creating architecture artifacts for complex applications. The engineer will manage large datasets to identify patterns, improve coding hygiene, and oversee the integration of enterprise-authorized AI tools within the development lifecycle. Technical requirements include proficiency in Python, ML frameworks like TensorFlow or PyTorch, and cloud-native technologies such as Docker and Kubernetes on AWS or GCP. Experience with distributed systems, microservices, NoSQL databases, and GPU workloads is essential. The role focuses on solving problems related to ML model serving, inference systems, and scalable web services within a complex financial infrastructure.

Skills

Python TensorFlow PyTorch Kubernetes Docker AWS GCP Cassandra NoSQL Microservices API Agile Java C++ TorchServe Triton Inference Server Domain-Driven Design System Design

What you'll do

Design and develop secure, stable, and scalable software solutions for complex business objectives.
Write high-quality production code and maintain algorithms that run synchronously with enterprise systems.
Utilize AI coding tools to generate, refactor, and document code while ensuring security and accuracy.
Create architecture and design artifacts for complex applications while ensuring all technical constraints are met.
Analyze large, diverse datasets to create visualizations and identify patterns for system improvements.
Develop and maintain scalable services including web services, APIs, and microservices architectures.
Implement machine learning systems using Python and frameworks like TensorFlow or PyTorch.
Mentor team members and establish engineering standards to improve overall code quality and safety.

What we're looking for

Formal training or certification in software engineering concepts and 5+ years of applied experience.
Professional software development experience with a specific emphasis on ML systems.
Hands-on experience using enterprise-authorized AI-assisted software development tools to create, test, and troubleshoot code.
Proficiency in Python including experience with machine learning frameworks like TensorFlow or PyTorch.
Experience with cloud-native technologies such as Docker and Kubernetes.
Experience with public cloud platforms (AWS or GCP) and distributed systems concepts like microservices and NoSQL databases.
Experience with system design fundamentals, including reliability, scalability, and performance tradeoffs.
Mentorship and technical leadership experience to set engineering standards and improve team quality.

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