NVIDIA

3 months ago

Solutions Architect, GenAI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

This is a highly technical Solutions Architect role focused on GenAI (LLM) model building and scalable AI software practices. You’ll design GenAI full-stack solutions, lead workshops, collaborate with engineering/product teams, craft strategic vision, and communicate AI value to industry leaders, primarily supporting Singapore with regional SEE coverage.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Be an expert and help customers customize GenAI (LLM) models and optimise the training performance at scale.
•Lead workshops and trainings on NVIDIA's technologies.
•Closely partner with other Solutions Architects, engineering, product and business teams at NVIDIA to build GenAI full stack solutions for industry vertical and enterprise use cases.
•Work with business managers to thoughtfully craft the vision, actionable and effective strategies for the group.
•Encourage industry leaders by articulating the business value from the state of the art in Generative AI.

Travel: Medium travel

Key Requirements

•BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
•8+ overall years of work-related experience in deep learning, data science or software development with knowledge of parallel computing with GPUs, specifically focusing on generative AI at scale and training LLMs
•Clear written and oral communication skills with the ability to collaborate with management and engineering
•Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences
•Professional or native language proficiency in English and Mandarin, with the ability to travel up to 30% of the time to support customers in SEA and beyond

Experience:8+ yearsGenAILLMGPUDeep learningData scienceSoftware developmentParallel computingDistributed training

Education:Master's in Computer Science

Skills:CommunicationPresentationLeadershipCollaborationProblem-solving

Languages:EnglishMandarin

Tech Stack:NVIDIA NeMoMegatronDockerKubernetesSlurmEnrootPyxisGPUDistributed computing

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

Loading job details...

Preparing the role view and application actions.

NVIDIA

3 months ago

Solutions Architect, GenAI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Be an expert and help customers customize GenAI (LLM) models and optimise the training performance at scale.
•Lead workshops and trainings on NVIDIA's technologies.
•Closely partner with other Solutions Architects, engineering, product and business teams at NVIDIA to build GenAI full stack solutions for industry vertical and enterprise use cases.
•Work with business managers to thoughtfully craft the vision, actionable and effective strategies for the group.
•Encourage industry leaders by articulating the business value from the state of the art in Generative AI.

Travel: Medium travel

Key Requirements

•BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
•8+ overall years of work-related experience in deep learning, data science or software development with knowledge of parallel computing with GPUs, specifically focusing on generative AI at scale and training LLMs
•Clear written and oral communication skills with the ability to collaborate with management and engineering
•Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences
•Professional or native language proficiency in English and Mandarin, with the ability to travel up to 30% of the time to support customers in SEA and beyond

Experience:8+ yearsGenAILLMGPUDeep learningData scienceSoftware developmentParallel computingDistributed training

Education:Master's in Computer Science

Skills:CommunicationPresentationLeadershipCollaborationProblem-solving

Languages:EnglishMandarin

Tech Stack:NVIDIA NeMoMegatronDockerKubernetesSlurmEnrootPyxisGPUDistributed computing

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