- Using the capabilities of GPUs and other accelerators to the fullest extent to make our custom model architectures fast and efficient for training and inference
- Deliver and maintain high performance GPU and communication kernels that increase utilization and also work well in a distributed training and inference environment
- Collaborating closely with ML Engineers and Researchers to develop new architectures and algorithms that are aware of I/O & Hardware constraints
- Communicating with hardware vendors to advise on design of software or future hardware, while also making sure we are keeping up to date with the cutting edge
- Working on quantization or any form of low-precision arithmetic to increase throughput without degradation in performance
- Strong C/C++ and Python coding skills
- Deep understanding of GPUs or other accelerators, along with the ability to effectively profile and analyze existing or new kernels
- Experience with CUDA/CUTLASS (and experience with Triton-like compilers is a plus)
- 3+ years of relevant industry experience and experience working with hardware developers
- MS/PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers or other System
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Software Engineer, Kernels - Menlo Park, United States - Character
Description
About the roleWe're looking for a seasoned Research Engineer with expertise in GPU computing to design high-performance kernels for our training and inference workloads using CUDA/CUTLASS, C++, and Python.
Responsibilities:
Founded in 2021 by AI pioneers Noam Shazeer and Daniel De Freitas, Character is a full-stack AI powerhouse and ranks among the most utilized AI research platforms globally. Our innovative approach allows users to customize their experience with personalized AI 'Characters.'
In just two years, we achieved unicorn status and were named Google Play's AI App of the Year - a testament to our groundbreaking technology and vision.
Noam co-invented core LLM tech and was recently honored as one of TIME's 100 Most Influential in AI. Daniel created LaMDA, the breakthrough conversational AI now powering Google's Bard.
We encourage you to apply even if you don't meet all qualifications. Underrepresented individuals often experience imposter syndrome-don't underestimate yourself.
Our commitment to diversity:
Character values diversity and welcomes applicants of all backgrounds. We are an equal opportunity employer and firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to us.
