Salary
💰 $184,000 - $287,500 per year
Tech Stack
KubernetesPython
About the role
- Develop and demonstrate software solutions based on NVIDIA’s ground breaking AI software and hardware technologies to customers
- Develop GenAI model pipeline and perform in-depth analysis and optimization to ensure the best performance on current- and next-generation GPU architectures
- Develop and debug software for NVIDIA and OSS AI frameworks and libraries
- Lead and develop proof-of-concepts (PoCs) for software solutions applied to Consumer Internet industry use-cases such as NLP/LLM, retrieval, recommender, etc. by working closely with customer's AI developers
- Build collateral (notebook/code) for PoCs
- Work closely with business development team owning the technical relationship and enabling customer in building innovative solutions based on NVIDIA technologies
- Partner with NVIDIA software engineering, product, sales teams to secure design wins at customers.
- Enable development and growth of NVIDIA product features through customer feedback and PoC evaluations
Requirements
- BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience
- 8+ years of experience as an AI/Software Engineer with proven track record coding in Python and/or C++ with popular AI software libraries and GPUs
- Experience with GenAI applications and LLM training/fine-tuning, inference optimization and/or RAG pipelines
- Ability to communicate your ideas/code clearly through GitHub, documentation
- Great teammate who enjoys collaborating with teams across the organization such as Engineering/Research, Sales, Product, and Marketing
- Effective verbal/written communication, and technical presentation skills
- Self-starter with passion for growth, enthusiasm for continuous learning and sharing findings across the team