N

NVIDIA

Designs the chips and software that power AI

Solution Architect - Generative AI

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeTokyo, JapanNo salary listedIn-person

About the Job

Requirements

  • Excellent verbal, written communication, and technical presentation skills in Japanese, plus business-level English communication.
  • A Bachelor of Science or Master of Science degree in Computer Science, Engineering, Mathematics, or Physics, or equivalent experience.
  • At least 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 collaborate effectively with management and engineering.
  • Desire to share knowledge with clients, partners, and co-workers.

Responsibilities

  • Develop and demonstrate solutions based on NVIDIA's Generative AI software and hardware technologies, focusing on inference; advise customers on agent-based system design and optimal models and infrastructure.
  • Work directly with key customers to understand their challenges and provide solutions based on NVIDIA products.
  • Perform in-depth analysis and optimization to improve performance and cost-effectiveness using the NVIDIA software platform, including transitioning pipelines to lower-precision compute.
  • Drive pre-sales conversations, build architectures and demos to accelerate customers' AI journeys based on NVIDIA products, and work closely with Sales Account Managers to secure design wins.
  • Create or run proofs of concept and demos, present and explain complex topics, and use Python coding to execute data pipelines, train machine-learning and deep-learning models, and deploy them on container-based orchestrators.

Desired Qualifications

  • Expertise in deploying large-scale training and inference pipelines.
  • Experience with pre-training and post-training transformer-based architectures for language or vision.
  • Deep understanding of the latest Generative AI or Deep Learning methods and algorithms.
  • Experience using or operating Kubernetes and writing or customizing Kubernetes configurations.
  • Experience designing agent-based systems, including architecting the overall design, optimal infrastructure, agent architecture, and authentication systems.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

Recently Posted Jobs

Explore more opportunities at NVIDIA

See more jobs