Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity

Join our team as a Sr. Engineering Manager for our AI Inference Platform and seize the extraordinary opportunity to embrace the world of GenAI with Firefly!

We’re looking for an extraordinary AI infrastructure authority to lead the development of our AI Inference Platform! You will lead the architecture, design, development, and testing of the platform. The primary goal of this team is to enable the Firefly Product Team to easily run and deploy ML capabilities used by Adobe client applications.

In addition to the Firefly Team, Adobe Research and other App Teams will deploy thousands of models on this platform. Models will come from a variety of lifecycle stages (early research, development, productization, optimization, etc.)

We’re a close-knit team dedicated to creating a dynamic platform that will offer ML model serving at scale, with high-cost efficiency and on a wide variety of hardware platforms, across multiple clouds. If you enjoy having many different exciting tasks where it’s easy to draw a line from your efforts to real accomplishments, come talk to us!

What You’ll Do

Partner with Applied Research and Firefly App Integrations team to understand their needs and goals. Use this knowledge to drive the development and evolution of the AI Inference Platform.

Identify and implement standard processes and open-source or public cloud solutions to increase the efficiency and scalability of the platform.

Ensure inference service enhances GPU utilization, scales models independently and optimizes COGs.

Drive the engineering aspects of the AI Inference Platform - evolving the platform as needed.

Work closely with other teams across Adobe that need short-term training and inference.

Impact the organization through contributions to technical direction and strategic decisions.

What You’ll Need to Succeed

A proven understanding of AI/ML, including ML frameworks, public cloud and commercial AI/ML solutions - familiarity with Pytorch, SageMaker, HuggingFace is required.

Experience building and scaling distributed systems, and experience with containerization and orchestration technologies (Kubernetes, EKS).

Strong communication and collaboration skills - building strong relationships with internal customers and external partners.

A track record of attracting top talent and leading high-performance teams to deliver results in a fast-paced dynamic environment of AI infrastructure.

Demonstration of strong analytical and problem-solving skills, with the ability to think strategically and make data-driven decisions.

A passion for staying up to date with the latest trends and technologies in AI/ML - in the cloud and on device - experience with ONNX, NVIDIA’s TensorRT, OpenAI Triton, Meta AITemplates, CoreML, WinML is a plus.

A Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, a related field, or confirmed equivalent experience.

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 $168,200 -- $340,100 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.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected] or call (408) 536-3015.

Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.

Sr. Engineering Manager

AI Inference Platform

Adobe

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