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NVIDIA
NVIDIA

Pioneering accelerated computing and AI

Solutions Architect, GenAI at NVIDIA

RoleSales Engineering
LevelSenior
LocationSingapore, Singapore-Suntec Tower
WorkOn-site
TypeFull-time
Posted1 day ago
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About the role

We are looking for a Solutions Architect with experience in GenAI (LLM) model building. This is a highly technical role that requires deep expertise in generative AI, large language models (LLMs), and scalable software engineering practices. We need a passionate, hard-working, expert and creative individual to help us pursue the many opportunities in this region.

A Solution Architect is the first line of technical expertise between NVIDIA and our customers, as well as our partners. Your duties will vary from solutions design, training/workshops, troubleshooting, project coordination, industry and marketing speaking engagements, customer relationship management and more. You will primarily support Singapore, but will need to support the wider South East Asia region if required.

What you'll be doing:

  • Be an expert and help customers to 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.

What we need to see:

  • 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, with emphasis on training Large Language Models (LLMs) at scale.

  • Clear written and oral communication skills with the ability to collaborate with management and engineering. Share knowledge with clients, partners and co-workers.

  • Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences.

  • Professional or native language proficiency in English and Mandarin.

  • Ability to travel up to 30% of the time to support customer in South East Asia and beyond.

Ways to stand out from the crowd:

  • Hands-on experience with NVIDIA's Ne Mo SDKs or Megatron.

  • Demonstrable ability to customize LLM models with new capabilities as well as for training speed, memory efficiency, and resource utilization.

  • Familiarity with containerization technologies (e.g., Docker or enroot/pyxis, etc.) and orchestration tools (e.g., Slurm or Kubernetes, etc.) for scalable and efficient model building.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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.

Required skills

Solution architecture

Generative AI

LLMs

Customer consulting

Technical training

Scalable software engineering

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About NVIDIA

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

Employees

Santa Clara

Headquarters

$4.57T

Valuation

Reviews

10 reviews

4.4

10 reviews

Work-life balance

2.8

Compensation

4.5

Culture

4.2

Career

4.3

Management

3.8

78%

Recommend to a friend

Pros

Cutting-edge technology and innovation

Excellent compensation and benefits

Great team culture and collaboration

Cons

High pressure and expectations

Poor work-life balance and long hours

Fast-paced environment leading to burnout

Salary Ranges

79 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

7 reports

$170,275

total per year

Base

$130,981

Stock

-

Bonus

-

$155,480

$234,166

Interview experience

5 interviews

Difficulty

3.0

/ 5

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience