The rapidly growing AI community within industries is inspired by developers who are applying their passion to build a wide range of applications and services using innovative accelerated computing technologies and platforms from NVIDIA. Key areas of application development include Deep Learning/AI, Accelerated Data Science, Autonomous Vehicles, Agentic AI, RAG systems, and more.
We are now looking for a dynamic, customer-minded Solution Architect who is passionate about AI (artificial intelligence) areas such as machine learning (ML) and deep learning (DL) to join NVIDIA's developer programs team. Growing and nurturing the ecosystem of developers who use NVIDIA platforms to power the AI revolution is a critical mission, and this role is tightly aligned with our strategic priorities. The role is fast-paced and involves engaging with developers across our Industry Enterprise customers at scale, as well as responding quickly to urgent implementation issues. In parallel, you will be building technical content that accelerates adoption. We're looking for energetic and creative software engineers who want to be on the cutting edge of AI technology and are passionate about helping the rapidly expanding community of developers and enterprise customers build the future.
What you'll be doing:- Making AI Startups successful, helping accelerate their apps/platforms using the latest SDKs and technologies.
- Collaborating deeply with NVIDIA deep learning engineers, SDK product and framework teams, Deep Learning Institute (DLI), and NV Research to ensure developer enablement materials are best-in-class and fully aligned with technology roadmaps.
- Championing the use of DL (deep learning) and Data Science across the growing portfolio of AI startups.
- Developing world-class materials to educate developers. Assets include sample applications, tutorials, white papers, technical blogs, trainings and presentations to help developers adopt NVIDIA's SDKs and key technologies.
- Contributing to the development of hands-on training materials and exercises used in DLI courses and becoming a certified instructor.
What we need to see:- BS/MS in Engineering, Computer Engineering, or Computer Science - or equivalent experience.
- 5+ years experience in an externally facing technical role.
- Solid understanding of standard methodologies for solution design and implementation based on frameworks and platforms that are GPU-accelerated.
- Detailed understanding of NVIDIA's software stack from drivers to SDKs and APIs.
- Experience presenting to technical audiences and creating technical content for developers.
- Passionate about getting things done quickly.
- Excellent written and verbal communication skills.
- Confirmed ability to handle multiple projects simultaneously.
- Ability to work independently with minimal direction.
- Please be prepared to provide samples of your work where you have created and delivered public-facing technical content, made forum contributions, etc.
Ways to stand out from the crowd:- History of engaging and nurturing developers.
- Hands-on experience with NVIDIA SDKs and key technologies (e.g. Riva, Triton, RAPIDS, cuDNN, CUDA, DL/ML Frameworks).
- 3+ years of machine learning or deep learning experience.
- In-depth knowledge of modern deep learning software design, data science workflows, and applications.
- Familiarity with deep learning frameworks such as TensorFlow, PyTorch, Keras, or others.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 15, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
