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.
NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative and autonomous, we want to hear from you!
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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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
- BS/MS in Engineering, Computer Engineering, or Computer Science, or equivalent experience.
- 5+ years experience in an externally facing technical role.
- Solid understanding of solution design and implementation methodologies for GPU-accelerated frameworks and platforms.
- Detailed understanding of NVIDIA software stack from drivers to SDKs and APIs.
- Experience presenting to technical audiences and creating technical content for developers (tutorials, samples, blogs, trainings).
- Ability to develop world-class developer materials (sample apps, tutorials, white papers, technical blogs).
- Excellent written and verbal communication skills.
- Confirmed ability to handle multiple projects simultaneously and work independently with minimal direction.
- Be prepared to provide samples of public-facing technical content and forum contributions.
- History of engaging and nurturing developer communities.
- Hands-on experience with NVIDIA SDKs and technologies (e.g., Riva, Triton, RAPIDS, cuDNN, CUDA).
- 3+ years of machine learning or deep learning experience.
- Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
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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