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.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for a Solutions Architect with experience in large scale cloud native application development and experience with AI applications.
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 and development, 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.
Support customers in packaging custom microservices and workflows and develop cloud native Agentic AI leveraging NVIDIA’s NIMs microservices and Blueprints.
Work with NVIDIA's rich portfolio of tools such as Dynamo, AI-Q, NIMs, Blueprints, Triton Inference Server, GPU and Network Operators, Run:AI, Lepton, NVCF, Base Command Manager and our many use case and industry specific SDKs (I.e. NeMo)
Advise on distributed cloud native inferencing, including load balancing and network requirements. Services performance and availability optimisations to meet requirements and SLAs.
Provide customer feedback to internal engineering and product management teams to improve and refine existing products – and develop new ones !
Closely collaborate with internal teams (professional services, product development, enterprise support) and ecosystem partners (ISVs, Solution Integrators) to deliver solutions to our customers.
Setup and run demos, proof of concepts and benchmarks as required.
Deliver technical training and workshops to customers and partners. Present at industry and marketing events.
A passion for customer success and innovative AI solutions.
Someone motivated, able to work independently, proactively with minimal direction.
5+ years of experience with cloud native applications development and packaging
BSc or Master in Computer Science, Engineering or related subjects.
Experience with MLOps CI/CD pipelines and related tools.
Deep understanding of Kubernetes, Cloud native networking, Ingress controllers and load balancers for HTTP and gRPC.
Understanding of methodologies for application and workflows performance tuning.
Outstanding communication skills, strong interpersonal skills and love to work as part of a team.
Ability to travel up to 30% of the time to support customer in South East Asia and beyond.
Native or Professional language proficiency in English.
Hands-on experience with production deployments of Triton Inference Server on Kubernetes.
Exposure to RAG and vector databases.
CKA or CKAD certifications or equivalents.
Professional fluency in one of these languages: Mandarin.
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.
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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.”
