Software Quality Engineer

Adobe

Quick summary

Work type
On-site
Location
San Jose
Salary
$148,500–$214,950 / yr
Posted
9 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $163k
This role $182k
$105k most similar roles pay here $227k

This role pays more than 70% of similar roles. Most pay $128,956–$196,063 — the shaded band above. At the midpoint, this role pays about $182k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 301 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 299 roles with salary data.

Most-posted roles

View all roles at Adobe

At a glance

TL;DR · Software Quality Engineer

Role Posting Log in to save

As a Senior Machine Learning Engineer on the advanced AI platform team at Adobe, you will lead architectural design and implementation of reasoning systems, tool orchestration, and multimodal integrations for flagship products such as Photoshop and Lightroom. Your day-to-day responsibilities include developing next-generation AI agents that enhance Adobe’s product ecosystem, crafting robust agent architectures using frameworks like PyTorch and LangChain, designing evaluation frameworks for agent performance, and implementing state-of-the-art LLM techniques. You will need a strong background in AI, agentic system development, and proficiency in relevant tools and languages to build scalable solutions at the cutting edge of creative workflows.

Skills

Python PyTorch LangChain LangGraph MCP ADK LLMs VLLMs CI/CD Docker AWS PostgreSQL Kubernetes

What you'll do

  • Develop next-generation AI agents to enhance Adobe's product ecosystem.
  • Design robust agent architectures combining multiple AI capabilities.
  • Create evaluation frameworks for assessing agent performance.
  • Implement state-of-the-art LLM techniques in specialized applications.
  • Build scalable AI solutions using cutting-edge large language models.

What we're looking for

  • Master's or PhD in Computer Science, Machine Learning, Data Science, or related field.
  • Extensive experience with AI, LLMs, and agentic system development.
  • Proficiency in PyTorch, LangChain, MCP, ADK, and other relevant frameworks.
  • Strong foundation in data structures, algorithms, and software engineering principles.
  • Excellent problem-solving skills and ability to work under ambiguous conditions.

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