NVIDIA

2 months ago

Solutions Architect, Pre-training and Post-training

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead technical engagements with AI research teams in Korea to accelerate enterprise AI workloads using NVIDIA platforms. Define partnerships, guide model training and optimization with Megatron-LM, TensorRT, and NeMo tools, and translate technical insights into scalable customer solutions. Collaborate with product and marketing teams to showcase outcomes at events like GTC and drive adoption across researchers and developers.

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Create fruitful technical engagements with AI development teams in frontier model makers in Korea and lead strategic relationships with top developers and influential researchers.
•Help them develop AI models more efficiently by proposing state-of-the-art training and optimization frameworks including Megatron-LM, Megatron-Bridge, NeMo-RL, NeMo-Gym, TensorRT Model Optimizer, and TensorRT-LLM.
•Promote the results of the collaboration between NVIDIA and those teams with the support of marketing teams by publishing press releases and celebrate together by presenting them at GTC.
•Continuously keep up with the latest AI training and optimization technologies that not only NVIDIA but also the community researchers provide to the market.
•Collaborate with customers and partners to solve hard problems in customizing and deploying AI workloads at scale.

Key Requirements

•5+ years of hands-on experience in full AI model lifecycle, including pre-training, supervised fine-tuning, post-training such as reinforcement learning, optimization, and evaluation.
•Strong software engineering skills, including debugging, performance analysis, and test development.
•World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences.
•MS/PhD in Computer Science or Engineering or equivalent experience.
•Excellent English communication skills and understanding of infrastructure factors that affect AI model development such as GPU architecture, server block diagrams, or networking bandwidth among GPU servers or between GPU servers and shared storage.

Experience:5+ yearsAIGPUEnterprise AIAccelerated computing

Education:Master's

Skills:CommunicationProblem-solvingTeam collaboration

Languages:English

Tech Stack:Megatron-LMMegatron-BridgeNeMo-RLNeMo-GymTensorRT Model OptimizerTensorRT-LLMGPU architecture

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

2 months ago

Solutions Architect, Pre-training and Post-training

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Create fruitful technical engagements with AI development teams in frontier model makers in Korea and lead strategic relationships with top developers and influential researchers.
•Help them develop AI models more efficiently by proposing state-of-the-art training and optimization frameworks including Megatron-LM, Megatron-Bridge, NeMo-RL, NeMo-Gym, TensorRT Model Optimizer, and TensorRT-LLM.
•Promote the results of the collaboration between NVIDIA and those teams with the support of marketing teams by publishing press releases and celebrate together by presenting them at GTC.
•Continuously keep up with the latest AI training and optimization technologies that not only NVIDIA but also the community researchers provide to the market.
•Collaborate with customers and partners to solve hard problems in customizing and deploying AI workloads at scale.

Key Requirements

•5+ years of hands-on experience in full AI model lifecycle, including pre-training, supervised fine-tuning, post-training such as reinforcement learning, optimization, and evaluation.
•Strong software engineering skills, including debugging, performance analysis, and test development.
•World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences.
•MS/PhD in Computer Science or Engineering or equivalent experience.
•Excellent English communication skills and understanding of infrastructure factors that affect AI model development such as GPU architecture, server block diagrams, or networking bandwidth among GPU servers or between GPU servers and shared storage.

Experience:5+ yearsAIGPUEnterprise AIAccelerated computing

Education:Master's

Skills:CommunicationProblem-solvingTeam collaboration

Languages:English

Tech Stack:Megatron-LMMegatron-BridgeNeMo-RLNeMo-GymTensorRT Model OptimizerTensorRT-LLMGPU architecture

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor