Senior GenAI Systems Engineer - GPU Inference & APIs

Adobe Inc.; San Jose (CA); On-site; USD 183,000 - 265,000; Full time

Job summary

Adobe Firefly's Generative AI Services team is seeking Senior Machine Learning Engineers to help build scalable GenAI systems powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere.

You will design inference pipelines, optimize models for latency, and develop APIs that integrate both first-party and third-party models into the Adobe suite to serve individual and enterprise customers.

Qualifications

• MS/PhD in Computer Science, Machine Learning, or related field.
• 4+ years in machine learning with production-scale deployments.
• 2+ years leading large-scale GPU-intensive GenAI systems (training and inference).
• Experience with GenAI frameworks such as PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.

Responsibilities

• Design and develop core GenAI services and APIs across Adobe products.
• Design ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
• Collaborate with Adobe Research and other model teams on inference strategies and productization.
• Build and optimize GPU-accelerated pipelines for model training and inference, focusing on performance and scale.
• Foster a culture of innovation and technical excellence across the organization.

Skills

Machine Learning

GenAI systems

GPU-intensive training

Python

PyTorch

CUDA

TensorRT

Triton

Model optimization

Education

MS/PhD in CS or related

Tools

Kubernetes

Distributed systems

MLOps platforms

Job description

Adobe Firefly's Generative AI Services team is seeking Senior Machine Learning Engineers to help build scalable GenAI systems powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere.

You will design inference pipelines, optimize models for latency, and develop APIs that integrate both first-party and third-party models into the Adobe suite to serve individual and enterprise customers.