NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We are looking for a Solutions Architect with experience in large scale AI and/or HPC Infrastructure design, encompassing servers, network, storage and systems management. 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, industry and marketing speaking engagements, training delivery, troubleshooting, project coordination, customer relationship management and more. In this role you will provide support for customers in the South East Asia region.
What you'll be doing:
Identify new opportunities for NVIDIA technology and solutions, by optimally communicating and positioning the product portfolio and analysing customer requirements. Independently lead technical sales activities in collaboration with the extended team.
Validate data center designs and overall infrastructure capabilities (including power, cooling and space) to host NVIDIA solutions.
Work closely with data center operators, server and storage OEMs, system management and orchestration ISVs and the wider ecosystem in designing and delivering complete solutions.
Produce solutions proposals to customers, including architectural artifacts and bill of materials. Apply and customise reference architectures and templates to the specific customer context.
Work with internal engineering and product management teams to create new products and collect customer feedback. Contribute to the development of new reference architectures, reusable assets and templates in support of the wider team.
Closely collaborate with professional services and enterprise support teams on solutions delivery and support post-sales.
Setup and run demos, proof of concepts and benchmarks as required.
Deliver technical training and workshops to customers and partners. Present at industry and market events.
What we need to see:
A passion for customer success and innovative AI solutions. Someone motivated, able to work independently, proactively with minimal direction.
3+ years experience in IT infrastructure technical sales.
B.Sc or Master in Computer Science, Engineering or related subjects.
Experience in network design and topologies, both logical and physical.
Knowledge of Infiniband and RoCE fabrics.
Expertise with infrastructure management including Linux, Ethernet and IP networking, IPMI and RedFish.
Hardware and workload performance tuning and optimisation experience.
Outstanding communication skills, strong interpersonal skills and love to work as part of a team.
Ability to travel up to 20% of the time to support customer in South East Asia.
Professional or Native English language proficiency
Ways to stand out from the crowd:
Exposure to Kubernetes, container runtimes and cloud native stacks.
Exposure to batch orchestrators such as SLURM.
Hands-on experience with NVIDIA systems and technologies such as Cumulus Linux, GPU and Network Operator, DCGM, Base Command Manager.
Knowledge of DevOps/MLOps technologies.
Professional fluency in one or more of these languages: Mandarin, Thai, Bahasa Indonesia, Bahasa Malaysia
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.
Skills Required
- 3+ years of experience in IT infrastructure technical sales
- Bachelor's or master's degree in Computer Science, Engineering, or a related subject
- Experience with network design and logical and physical topologies
- Knowledge of Infiniband and RoCE fabrics
- Expertise with infrastructure management, including Linux, Ethernet and IP networking, IPMI, and Redfish
- Hardware and workload performance tuning and optimization experience
- Outstanding communication and interpersonal skills
- Ability to travel up to 20% of the time in Southeast Asia
- Professional or native English proficiency
- Exposure to Kubernetes, container runtimes, and cloud-native stacks
- Exposure to batch orchestrators such as SLURM
- Hands-on experience with NVIDIA systems and technologies, including Cumulus Linux, GPU Operator, Network Operator, DCGM, or Base Command Manager
- Knowledge of DevOps and MLOps technologies
- Professional fluency in Mandarin, Thai, Bahasa Indonesia, or Bahasa Malaysia
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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