Senior Software Engineer-Distributed Inference
NVIDIA- Full Time
- Senior (5 to 8 years)
Candidates should possess extremely strong software engineering skills and proficiency in Python along with related machine learning frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. Experience writing kernels for GPUs using CUDA and utilizing large-scale distributed training strategies is essential. Familiarity with autoregressive sequence models, particularly Transformers, is also required. A bonus is having a paper published at top-tier venues such as NeurIPS, ICML, or ACL.
As a Member of Technical Staff, you will design, build, and scale AI systems for serving users. You will research, implement, and experiment with innovative ideas on the supercompute and data infrastructure while learning from and collaborating with leading researchers in the field.
Provides NLP tools and LLMs via API
Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.