Sr Principal ML Optimization - San Francisco, United States - Adobe

Description

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

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

At Adobe, we're driving our reinvention as an AI company and betting on Generative AI Last year, we released many Generative AI capabilities under the Firefly umbrella - features used by more than 50% Photoshop users and generating 5B+ images, while doing AI responsibly and transparently

We are looking to bring on a Senior Principal ML GPU Architect to lead the ML GPU optimization team in Adobe Firefly, reporting to the Head of AI/ML and Data Platforms as a member of staff. You will partner with the Director of ML Engineering who is responsible for our platform engineering resources to unlock step function changes in training and inference speed/scale for all our ML workloads.

This opportunity will not only enable you to make real world impact by optimizing ML workloads running on tens of thousands of GPUs, but also will enable you to have the opportunity to publish relevant work as either open-source or as technical publications in major conferences. The role involves hands on impact on all ML platforms powering inference, training, and data, as well as guiding the platform strategy towards higher scale and faster execution areas.

We also expect you to contribute to hiring critical talent, building and enhancing relationships with Adobe research and Adobe product teams, investing in major new initiatives in emerging technologies, and communicating goals and breakthroughs to senior leadership, to Adobe, and Adobe's customers. The role requires experience guiding highly motivated world-class ML practitioners towards ambitious goals, generating original intellectual property, and creating real-world impact.

What you'll do

• Help drive ML Platform technical roadmap and Strategy.
• Lead and mentor highly motivated ML GPU optimization engineers/scientists.
• Write efficient forward and backward passes in CUDA/CuTe.
• Write optimized custom layers in Pytorch.
• Optimize ML training and inference code for large, distributed training/inference with FP8.
• Quality and performance analysis between data types such as BF16 and FP8 for large deep learning models.
• Understand and optimize H100 GPUs.
• Architect broader, end to end optimized training and inference code and schemes with Pytorch for large, distributed models.
• Write high quality, product level code that is easy to maintain and test following standard methodologies.

What you'll need to succeed

• Proficiency in at least two of: Linux, Ansible, Docker, Kubernetes (7+ yrs)
• Expert in Python and C++
• Expert in CUDA/CuTe, NCCL, OpenCL, Triton
• Expert in Pytorch
• Experience with DDP, FSDP
• A minimum of seven years of experience in distributed computing
• A minimum of five of experience working with AWS or similar cloud infrastructure
• Experience with HW resource management for ML training and/or deployment
• B.S., M.S, or Ph.D. in Computer Science, Computer Engineering or a related area

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is an equal opportunity employer. We hire hard-working individuals, regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status. We know that when our employees feel appreciated and included, they can be more creative, innovative and successful. This is what it means to be Adobe For All. Learn more about our vision here.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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 $205,900 -- $407,500 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 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 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 or call

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.