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

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Palo Alto, CA
Posted
7 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $197k
$140k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $157,500–$235,750.

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

As a Software Engineer III- AI/ML Engineering, GPU ML Serving within the Commercial and Investment Banking team, you will join an agile team to design and deliver secure, stable, and scalable technology products. You will be responsible for executing software solutions, creating high-quality production code, maintaining algorithms, and producing architecture artifacts for complex applications. Your daily work involves troubleshooting technical problems, analyzing large datasets to improve system architecture, and utilizing enterprise-authorized AI coding tools to enhance development speed and quality. The role requires proficiency in Python, ML frameworks like TensorFlow or PyTorch, and cloud-native technologies including Docker, Kubernetes, and public clouds like AWS or GCP. You will also work with NoSQL databases like Cassandra, distributed systems, microservices, and potentially manage GPU workloads using serving frameworks such as TorchServe or Triton Inference Server.

What does a Software Engineer earn in California?

Median $214000 from 775 postings across 63 companies.

See salary data

What you'll do

  • Design and develop secure, stable, and scalable software solutions to meet business objectives.
  • Create high-quality production code and maintain algorithms that run synchronously with existing systems.
  • Utilize enterprise-authorized AI coding tools for code generation, refactoring, unit testing, and documentation.
  • Validate AI-generated outputs through peer review, automated testing, and secure coding standards.
  • Produce architecture and design artifacts while ensuring software code meets specific design constraints.
  • Analyze large, diverse datasets to create visualizations and reports for continuous system improvement.
  • Identify patterns in data to improve coding hygiene and overall system architecture.

What we're looking for

  • Formal training or certification in software engineering concepts and at least 3 years of applied experience.
  • Professional software development experience with a specific focus on ML systems.
  • Hands-on experience using enterprise-authorized AI-assisted development tools to create, test, and troubleshoot code.
  • Ability to ensure secure handling of data and adhere to security standards when using AI in engineering workflows.
  • Experience designing and developing scalable systems, web services, and APIs.
  • Proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.
  • Experience with cloud-native technologies like Docker and Kubernetes, and at least one public cloud platform (AWS or GCP).
  • Experience with distributed systems, microservices architectures, and NoSQL databases like Cassandra.

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