NVIDIA Logo

NVIDIA

Solutions Architect, Generative AI Specialist

Sorry, this job was removed at 12:08 a.m. (PST) on Tuesday, Jul 08, 2025
Be an Early Applicant
In-Office or Remote
3 Locations
In-Office or Remote
3 Locations

Similar Jobs

20 Days Ago
In-Office or Remote
Santa Clara, CA, USA
184K-288K Annually
Senior level
184K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Senior Solutions Architect will lead prototyping for AI partners, architect AI systems, resolve technical issues, and produce reusable assets to enhance enterprise AI adoption.
Top Skills: AICudaDockerGenerative AiKubernetesLlmMlMlopsNemoNvidia Ai EnterpriseTensorrtTriton Inference Server
5 Minutes Ago
In-Office or Remote
37K-37K Annually
Junior
37K-37K Annually
Junior
Manufacturing
The Associate Product Consultant provides customer care by managing inbound calls and emails, resolving product and warranty questions, and ensuring positive customer experiences.
Top Skills: MS OfficeMicrosoft Teams
6 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
196K-271K Annually
Senior level
196K-271K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
Lead the brand's creative strategy across various channels, managing a multi-disciplinary team while driving impactful brand campaigns and aligning with business goals.
Top Skills: Ai ToolsCreative StrategySocial MediaWebsite Design

Are you a creative data scientist who loves solving problems with AI? Do you enjoy developing case studies and teaching others how to use new AI technology? We are looking for a passionate Generative AI Specialist to join NVIDIA as a Solution Architect (SA) in Santa Clara, CA, USA. As a member of our partner enablement team, you will have the unique opportunity to use NVIDIA's innovative AI platform to create sample solutions that our customers and partners can adapt to real-world applications. We have assembled a world-class team of experts whose work is accelerating enterprise adoption of AI.

What you'll be doing:

One of the perks of joining NVIDIA is that you'll enjoy access to incredible emerging technology. You will use our amazing platform to demonstrate end-to-end deployment of AI solutions in exciting areas such as healthcare, retail, and financial services.

  • Develop reference architectures showing the application of AI in industry-specific contexts.

  • Build sample applications that bring these AI workflows to life.

  • Lead live workshops and trainings to ensure partner and customer success.

  • Scale your knowledge by sharing your lessons with other NVIDIA teams around the globe.

  • Foster learning and improvement by providing valuable feedback to sales and product specialists.

What we need to see:

  • 5+ years of relevant work experience in developing and deploying scalable LLM models, and enterprise applications using Pytorch or TensorFlow with Software Engineer or ML Engineer background.

  • Proven track record of building enterprise RAG-based systems using open-source frameworks such as LlamaIndex, LangChain, Malevis, Haystack etc.

  • Excellent practical knowledge of Generative AI and LLMs. Ability to train and fine-tune GPT based models, such as Llama-2, Megatron , GPT-3

  • Robust foundational expertise, MS or advanced degree in a field related to AI or Computer Science, or equivalent experience.

  • Passion for knowledge sharing and track record of building educational content in the field of AI or Cloud.

  • Clear love of technology and AI—as illustrated by knowledge of emerging trends and tools.

  • Strong communication skills and experience working in external-facing roles. Comfortable working in a highly collaborative environment.

Ways to stand out from the crowd:

While not required, the following experiences and skills will set you apart:

  • Hands-on experience with NVIDIA AI Enterprise AI Software, Base Command Manager, NeMo, and NVIDIA Inference Microservices (NIMs), RAPIDS.

  • Excellent communication and presentation skills to effectively collaborate with both internal and external customers

The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account