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Role will be reporting to the NVIDIA Networking Segment Sales Lead in Japan and will work closely as TO4, with other sales managers of each vertical and products, strategic accounts, solution architects, marketing, support and engineering teams to drive the business to success.
The role involves looking after Japan key customers and partners dedicated to Cloud, Interconnect, Storage, Network Function Virtualization, Isolation with GPU.
With deep understanding of NVIDIA Reference Archtecture, schedulers such as Slurm, orchestration software such as Kubernetes and Run:ai, Cloud infrastructure management software like BCM, UFM, and NetQ, engage customer and partner to complete purpose build AI Factory for LLM to agentic AI.
Understanding internal processes to provide and deliver AI Factory, assign appropriate timing, content, and internal resources, and achieve the project goal and customer satisfaction.
A passion for winning, a strong interest in business strategy, excellent collaboration skills with a wide variety of internal team members, self-starter, self-confident individual with integrity and accountability, highly motivated, competitive and attracted to an exciting opportunity.
A proven ability to work in a fast-paced environment where strong listening skills are essential as is having strong problem solving, written, verbal and social skills along with excellent presentation skills.
A demonstrated ability to provide thought leadership, think strategically and effectively communicate vision and influence cross-functionally.
5+ years of hands-on experience selling Data Center and Cloud platform technology, especially high speed ethernet and end to end interconnect (NVLINK, Switch, Optics, NIC) technology.
Experience building and implementing a sophisticated GTM strategy across multiple organizations. Technical sales or Product Management background is preferred.
Good English communication skill in email and video conference. Proficient Japanese communication skill is must.
To have proven track record of an exciting sales quota.
B.Sc in Computer Engineering, Computer Science or Electrical Engineering is preferred.
Knowledge of high performance cloud architecture including CPU and/or GPU, interconnect, share file system, orchestration tools, schedulers.
Knowledge of Kubernetes, container related microservice technologies.
Experience with GPU-focused hardware/software (DGX, CUDA)
Background with RDMA (InfiniBand or RoCE) fabrics.
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