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

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Palo Alto, CASeattle, WA
Employment
Full-time
Posted
53 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $202k
$138k $272k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$241,750.

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.

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At a glance

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

As a Software Engineer III- AI/ML Engineering, GPU ML Serving, you will join the Commercial and Investment Banking team to design and deliver secure, stable, and scalable technology products. You will execute software solutions, create high-quality production code, and maintain algorithms while producing architecture artifacts for complex applications. Your daily work involves troubleshooting technical problems, developing visualizations from large datasets, and managing AI-assisted development workflows. You must possess professional experience in ML systems, Python, and ML frameworks like TensorFlow or PyTorch. Technical requirements include cloud-native technologies such as Docker and Kubernetes, public cloud platforms like AWS or GCP, and NoSQL databases like Cassandra. You will specifically address the technical challenges of deploying GPU workloads, ML model serving frameworks, and distributed training systems within a microservices architecture.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

See salary data

What you'll do

  • Design and develop secure, stable, and scalable technology products and production code.
  • Troubleshoot complex technical problems using non-conventional approaches to build effective solutions.
  • Use enterprise-authorized AI coding tools to generate, refactor, and test code while validating all outputs.
  • Produce architecture and design artifacts for complex applications while ensuring code meets design constraints.
  • Analyze large, diverse data sets to create visualizations and reports for continuous system improvement.
  • Identify hidden patterns in data to improve coding hygiene and overall system architecture.
  • Manage AI use in engineering workflows, ensuring data sensitivity and security standards are met.

What we're looking for

  • Formal training or certification on software engineering concepts and 3+ years of applied experience.
  • Professional software development experience with an emphasis on ML systems.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools to create, validate, and refine outputs.
  • Experience contributing to the design and development of scalable systems and services like web services and APIs.
  • Proficiency in Python, including experience with ML frameworks such as TensorFlow or PyTorch.
  • Experience with cloud-native technologies like Docker and Kubernetes, and one or more public cloud platforms like AWS or GCP.
  • Experience with system design fundamentals, distributed systems concepts, microservices architectures, and Cassandra or equivalent NoSQL databases.
  • Working knowledge of Java and/or C++ (preferred).

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