Principal Service Engineer, Adobe Firefly

Adobe Adobe · Enterprise · San Jose, CA +2

Principal Service Engineer for Adobe Firefly's Generative AI Services team, leading the development and scaling of GenAI services and APIs. This role involves designing inference infrastructure, providing technical leadership, evaluating MLOps technologies, and driving cross-functional alignment for enterprise-scale GenAI systems powering various Adobe products.

What you'd actually do

  1. Lead the development and scaling of core GenAI services and APIs that integrate diverse generative models into Adobe’s flagship products.
  2. Design and architect inference infrastructure for enterprise-scale model customization, serving, and ecosystem integration.
  3. Provide hands-on technical leadership, guiding engineers through architecture, design, implementation, and best practices.
  4. Evaluate and incorporate emerging MLOps technologies to improve engineering velocity, scalability, and performance.
  5. Drive cross-functional alignment by partnering with Product Managers, TPMs, and engineering leaders to define and deliver the roadmap.

Skills

Required

  • 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

Nice to have

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

What the JD emphasized

  • lead a team of talented engineers
  • hands-on technical leader
  • productizing and scaling
  • address Adobe’s most complex engineering challenges
  • define technical direction
  • mentor a growing organization
  • 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
  • Deep experience in model serving, orchestration, and GPU resource management in large-scale deployments

Other signals

  • building scalable, high-performance generative AI systems
  • productizing and scaling a rapidly growing portfolio of GenAI services
  • design and architect inference infrastructure for enterprise-scale model customization, serving
  • leading large-scale, GPU-intensive GenAI workloads (training, inference, and/or optimization)
  • Deep experience in model serving, orchestration, and GPU resource management