Principal Service Engineer, Adobe Firefly

Adobe

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Work type: On-site
Location: San Jose, CASeattle, WASan Francisco, CA
Employment: Full-time
Posted: 39 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Similar $216k

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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 282 open roles on FindRole.

Listed pay typically runs $148,100–$282,100 across 76 roles with salary data.

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TL;DR · Principal Service Engineer, Adobe Firefly

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The Principal Service Engineer joins the Generative AI Services team to serve as the technical lead for the GenAI Services domain. In this role, you will lead a team of engineers to build and scale high-performance generative AI systems and APIs that integrate proprietary and third-party models into flagship products like Photoshop and Illustrator. You will design inference infrastructure for enterprise-scale model customization, manage GPU resource orchestration, and establish technical standards for reliability and maintainability. The position requires expertise in Kubernetes, distributed systems, and MLOps platforms to handle GPU-intensive workloads. You will solve complex engineering challenges by developing DevOps processes and tooling to productize a rapidly growing portfolio of generative services, specifically focusing on diffusion models, transformers, and GANs within a production-scale environment.

Skills

Generative AI MLOps Kubernetes Distributed Systems GPU Resource Management Model Serving APIs Diffusion Models Transformers GANs DevOps Inference Infrastructure

What you'll do

Lead the development and scaling of core GenAI services and APIs for Adobe's flagship products.
Design and architect inference infrastructure for enterprise-scale model customization and ecosystem integration.
Provide hands-on technical leadership to guide engineers through architecture, design, and implementation.
Evaluate and incorporate emerging MLOps technologies to improve engineering velocity and performance.
Lead design reviews and establish technical standards for system reliability and maintainability.
Design and lead the development of DevOps processes and tooling for scaling infrastructure.
Define the technical roadmap by partnering with Product Managers and engineering leaders.

What we're looking for

MS or PhD in Computer Science or a related field, or equivalent industry experience.
10+ years of experience building and operating production-scale systems.
3+ years of experience leading large-scale, GPU-intensive GenAI workloads including training, inference, and optimization.
Proven track record of leading cross-functional teams on complex, high-stakes engineering initiatives.
Deep experience in model serving, orchestration, and GPU resource management in large-scale deployments.
Hands-on expertise with Kubernetes, distributed systems, and MLOps platforms.
Exceptional communication and leadership skills to drive alignment in matrixed environments.
In-depth understanding of generative model architectures, including diffusion models, transformers, and GANs (preferred).