NVIDIA is the engine of modern Artificial Intelligence and Generative AI, the biggest technology breakthrough of our time. We're on a mission to make AI accessible to all, and we're seeking a visionary Product Architect to join our cause. As a key member of our team, you'll work across all layers of the AI Infrastructure stack, from operating systems to cloud native orchestration, ML platforms, and SDKs that facilitate the development of AI workflows and applications.
As a Product Architect at NVIDIA, you'll be the linchpin in transforming ideas into well-defined, functional products, balancing technical feasibility with user needs and market demands. You'll be responsible for designing and overseeing the development of cutting-edge AI solutions from conception through their entire lifecycle. Working at NVIDIA is all about efficiency and multiplying efforts; being a Product Architect is at the nexus of this ethos!
What you’ll be doing:
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Stay at the forefront of technology trends in AI Infrastructure, MLOps, and GenAI applications, proposing new product concepts
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Architect detailed product designs, including specifications for functionality, performance, and integrations
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Lead prototyping and testing processes to validate product design and functionality
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Iterate and refine designs based on feedback, testing results, and evolving requirements
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Coordinate with cross-functional teams to ensure seamless integration of various components and technologies
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Work closely with partners and customers to conceptualize ideal solutions, build proof-of-concepts (POCs) and minimum viable products (MVPs) that demonstrate your vision
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Provide comprehensive documentation for product designs, including technical specifications and user guides
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Develop targeted content such as whitepapers, blogs, and curriculum for customers, partners, and users
What we need to see:
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12+ years working as a Solutions Architect, Software Engineer, Data Scientist, DevOps Engineer, or similarly technical role
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Bachelor's Degree in Computer Science, or related field (or equivalent experience)
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Strong background in technologies that enable large scale infrastructure management of complex systems, networks, and storage
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Expertise in Cloud Native Architectures, K8s Operators, Ansible, Go, Observability, Python, and Operationalizing AI workloads using tools like Kubeflow, KServe, or MLflow
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Familiarity end-to-end AI Systems, including agentic & RAG-based workflows, inference at scale, training & fine-tuning, data curation, and model evaluation
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Proactive contributions to open-source projects or active involvement in tech communities
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Exceptional communication skills, with the ability to translate complex technical details for diverse audiences
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A passion for staying updated with the latest technological advancements in AI and related fields
Ways to stand out from the crowd:
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Prior first-hand experience on having built large scale AI infrastructure
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Advanced certifications or publications in AI, deep learning, or related fields, and history of conference sessions relating to AI, cloud, or data center deployments
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Experience leading high-impact projects or initiatives in innovative tech domains
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Active Leadership in cloud native or AI related open source communities, and demonstrated ability to mentor and uplift junior team members or peers
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Unique problem-solving experience where unconventional thinking led to breakthrough solutions
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're creative and autonomous, we want to hear from you!
The base salary range is 220,000 USD - 419,750 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.
Top Skills
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.”
