Drimva

Adobe

Senior AI Systems Engineer — C++ / Applied AI

$159K–$302K

San Jose +5 · Senior · Full-time · Posted Sep 18, 2026

Location
San Jose
San Francisco
Seattle
New York
Chicago
Remote California
Experience
10+ years of professional software engineering experience.

About the job

Builds C++ infrastructure and production systems that integrate AI capabilities into complex software products, with a focus on reliability, safety, evaluation, and platform architecture.

What you'll do

  • Design and build native C++ infrastructure, service integrations, and interfaces connecting products to AI services and workflows.
  • Develop AI evaluation, observability, safety, and reliability mechanisms for production systems.
  • Set technical direction and influence architecture across engineering and partner teams.

What they ask for

  • 10+ years of professional software engineering experience, with significant depth in C++.
  • Expertise in modern C++ design, memory management, concurrency, API design, debugging, and systems-level performance.
  • Experience building cross-platform software and integrating AI, LLMs, agents, or model-backed systems into production or production-adjacent software.
  • Experience with mature performance-sensitive codebases, systems architecture, and testing at scale.

Nice to have

  • Experience with frontier model APIs such as GPT, Claude, Gemini, or similar systems.
  • Experience with AI evaluation frameworks, agentic workflows, observability, or service protocols such as JSON-RPC, gRPC, WebSockets, or REST.

Pay

$159,200 - $301,600 annually (base salary); $208,300 - $301,600 (base salary); $208,300 - $301,600 (base salary); $178,600 - $258,700 (base salary); $190,200 - $275,400 (base salary)

Tools

C++, GPT, Claude, Gemini, JSON-RPC, gRPC, WebSockets, REST

AI focus

Integrates AI services, agents, and model-backed workflows into production software; builds evaluation, safety, observability, and reliability systems for AI features.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)