We are looking for a Solutions Architect to help customers and partners in South East Asia embrace NVIDIA technologies to build, deploy, and scale vision AI and video AI solutions. This is a highly technical role that requires deep expertise in VLM AI models and 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.
What you'll be doing:
Drive the adoption of NVIDIA's vision AI and video AI capabilities.
Provide hands-on technical leadership to put VLM (Visual Language Models) and WFM (World Foundation Models) into applications for computer vision, document processing, and video analytics.
Support solution development and technical validation around NVIDIA vision AI and video AI technologies
Work with field, product, and engineering teams to translate customer requirements into deployable architectures, technical feedback, and roadmap input.
Deliver demos, workshops, technical reviews, and partner enablement sessions that accelerate adoption of NVIDIA AI technologies.
What we need to see:
BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematics, Machine Learning, or a related field, or equivalent experience.
5+ years of proven experience in computer vision, vision AI, video AI, or world foundation models.
Hands-on experience in building and scaling production VLM and multi-modal AI systems.
Strong Python skills and experience with PyTorch.
Experience in the production trade-offs around latency, quality, and scale.
Familiarity with Docker, Kubernetes, Helm, or equivalent infrastructure tooling.
Ability to build and explain end-to-end AI pipelines, including model selection, customization, deployment, observability, and integration into customer applications.
Strong communication skills and the ability to work effectively across customers, partners, product management, and engineering.
Ways to stand out from the crowd:
Hands-on experience with NVIDIA AI technologies such as NVIDIA Metropolis + NVIDIA DeepStream SDK for live video pipelines, NVIDIA NIM for VLMs for serving, and Nemotron + Cosmos models.
Experience supporting model adaptation using NVIDIA TAO Toolkit + NVIDIA NeMo frameworks.
Experience benchmarking AI agents for quality, latency, reliability, safety, and user experience.
Experience working with enterprise partners to productionize voice AI applications in domains such as contact centers, digital humans, assistants, or industry-specific voice workflows.
Regarded as a top choice among technology companies, NVIDIA delivers highly competitive salaries and a well-rounded benefits package. As you consider your future, explore what we can provide for you and your family at https://www.nvidiabenefits.com/
Skills Required
- BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematics, Machine Learning, a related field, or equivalent experience
- 5+ years of experience in computer vision, vision AI, video AI, or world foundation models
- Hands-on experience building and scaling production VLM and multimodal AI systems
- Strong Python skills and experience with PyTorch
- Experience balancing latency, quality, and scale in production systems
- Familiarity with Docker, Kubernetes, Helm, or equivalent infrastructure tooling
- Ability to build and explain end-to-end AI pipelines, including model selection, customization, deployment, observability, and application integration
- Strong communication skills and ability to work across customers, partners, product management, and engineering
- Experience with NVIDIA AI technologies, including Metropolis, DeepStream SDK, NVIDIA NIM, Nemotron, or Cosmos models
- Experience with NVIDIA TAO Toolkit and NVIDIA NeMo frameworks
- Experience benchmarking AI agents for quality, latency, reliability, safety, and user experience
- Experience productionizing enterprise voice AI applications
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.
-
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.
-
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.
-
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.”
.jpg){kind=logo}
