Work directly with key customers to understand their challenges and provide the best solutions based on NVIDIA products
You will drive sustainability by performing in-depth analysis and optimization to ensure the best performance and cost-effectiveness using the NVIDIA software platform. This includes transitioning pipelines to lower precision compute.
Drive pre-sales conversations, build architectures and demos to accelerate the customer AI journey based on NVIDIA products, and work closely with Sales Account Managers to secure design wins.
Create or run Proofs of Concept and demos that require presentation skills, the explanation of complex topics, and Python coding to execute data pipelines, train ML/DL models, and deploy them on container-based orchestrators.
What we need to see
Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement.
BS or MS in Computer Science, Engineering, Mathematics, or Physics (or equivalent experience)
5+ years of industry or academic experience related to Generative AI or Deep Learning
Strong coding development and debugging skills. Including experience with Python, C/C++, Bash, and Linux
Demonstrated experience with cluster orchestration tools including Docker, Kubernetes, or SLURM across cloud service providers and on premises
Ability to multitask effectively in a dynamic environment
Strong analytical and problem-solving skills
Clear written and oral communication skills with the ability to effectively collaborate with management and engineering
Have a strong desire to share knowledge with clients, partners and co-workers
Ways to stand out from the crowd
Expertise in deploying large-scale training and inferencing pipeline
Experience with pre-training, post-training of transformer-based architectures for language or vision
A deep understanding of the latest generative AI or deep learning methods and algorithms
Experience using or operating Kubernetes, as well as experience writing or customizing Kubernetes configurations
Experience in designing agent-based systems: Experience working as an architect on the overall design, including optimal infrastructure, agent architecture, and authentication systems
NVIDIA is widely considered to be one of the technological world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you!
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
