Principal Service Engineer, Adobe Firefly

Adobe Firefly's Generative AI Services team is seeking a Principal Service Engineer to serve as the technical lead for our GenAI Services domain. In this high-impact role, you will lead a team of talented engineers in building scalable, high-performance generative AI systems-powering features across Adobe products such as Firefly, Photoshop, Illustrator, Express, Stock, Premiere, and our suite of GenAI Enterprise solutions.

You will design and develop APIs and systems that integrate both Adobe's proprietary and third-party generative models. As a hands-on technical leader, you will champion technical excellence and operational rigor while productizing and scaling a rapidly growing portfolio of GenAI services. You will address Adobe's most complex engineering challenges, define technical direction, and mentor a growing organization of ML and services engineers.

- Lead the development and scaling of core GenAI services and APIs that integrate diverse generative models into Adobe's flagship products. - Design and architect inference infrastructure for enterprise-scale model customization, serving, and ecosystem integration. - Provide hands-on technical leadership, guiding engineers through architecture, design, implementation, and best practices. - Evaluate and incorporate emerging MLOps technologies to improve engineering velocity, scalability, and performance. - Drive cross-functional alignment by partnering with Product Managers, TPMs, and engineering leaders to define and deliver the roadmap. - Lead design reviews and establish technical standards to ensure high reliability, maintainability, and scalability across systems. - Design and lead the development of DevOps processes and tooling necessary for scaling infrastructure and services. - Foster a culture of innovation, technical excellence, and continuous improvement across the organization.

- 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 (training, inference, and/or optimization). - Proven track record of leading cross-functional teams on complex, high-stakes engineering initiatives. - Exceptional communication and leadership skills, with a strong ability to drive alignment in matrixed environments. - Deep experience in model serving, orchestration, and GPU resource management in large-scale deployments. - Hands-on expertise with Kubernetes, distributed systems, and MLOps platforms.

- In-depth understanding of generative model architectures, including diffusion models, transformers, and GANs

Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $206,400 -- $379,100 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.

Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $261,800 - $379,100 In Washington, the pay range for this position is $242,600 - $351,225