Total 3 manufacturing engineer job vacancies in Education / Training category in San Antonio, Texas

• Conduct basic and applied research to improve environmental and economic resilience and crop water productivity of various irrigated and dryland cropping systems.
• Develop and refine innovative practices to manage water for sustainable agriculture production for marginally irrigated and dryland cropping systems in a region with increasingly limited availability of water for irrigation.
• Conduct supporting research to enhance the understanding of crop response to water, improve the accuracy of soil water and plant monitoring, and develop and assess water management strategies.

• Participate in all phases of the research within a broad area of research requiring a systematic attack of conceptionally related studies.
• Examine how management impacts greenhouse gas emissions and plant nutrient retention as manure is deposited and accumulates on feedlot/drylot surfaces, processed and applied to soils
• Assist in other research directed at quantifying the role of manures to promote soil health, and the development of new forage systems compatible with regional natural resources and result in decreased environmental impacts.
• Explore alternative uses for manure and crop-derived products.

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!

What you will be working on: 

·       Write efficient forward and backward passes in CUDA/CuTe. 

·       Write Optimized custom layers in Pytorch. 

·       Optimize ML training code for large, distributed training 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 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 do you need to succeed: 

·       Proficiency in at least two of: Linux, Ansible, Docker, Kubernetes (5+ yrs) 

·       Expert in Python and or C++ 

·       Expert in CUDA/CuTe, OpenCL and or Triton 

·       Expert in Pytorch 

·       Experience with DDP, FSDP 

·       Experience in distributed computing (7+ yrs) 

·       Experience working with AWS or similar cloud infrastructure (5+ yrs) 

·       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 

#FireflyGenAI 

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 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 accommodations@adobe.com 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.