Posted:
9/30/2024, 9:53:00 AM
Location(s):
California, United States
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
Software Engineering
Workplace Type:
Remote
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 cluster management, 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:
Stay at the forefront of technology trends in AI Infrastructure, MLOps, and GenAI applications, proposing new product concepts
Architect detailed product designs, including specifications for functionality, performance, and integrations
Lead prototyping and testing processes to validate product design and functionality
Iterate and refine designs based on feedback, testing results, and evolving requirements
Coordinate with cross-functional teams to ensure seamless integration of various components and technologies
Work closely with partners and customers to conceptualize ideal solutions, build proof-of-concepts (POCs) and minimum viable products (MVPs) that demonstrate your vision
Provide comprehensive documentation for product designs, including technical specifications and user guides
Develop targeted content such as whitepapers, blogs, and curriculum for customers, partners, and users
What we need to see:
12+ years working as a Solutions Architect, Software Engineer, Data Scientist, or similarly technical role
Bachelor's degree in computer science or related field or equivalent experience.
Strong background in technologies that enable large scale infrastructure management of complex systems, networks, and storage
Extensive experience with DevOps solutions, including Python, Ansible, Container Runtimes, Kubernetes, and data center deployments
Familiarity with AI workloads, including agentic & RAG-based workflows, inference at scale, training & fine-tuning, and model evaluation
Exceptional communication skills, with the ability to translate complex technical details for diverse audiences
A passion for staying updated with the latest technological advancements in AI and related fields
Ways to stand out from the crowd:
Prior first-hand experience on having built large scale AI infrastructure
Advanced certifications or publications in AI, deep learning, or related fields
Experience leading high-impact projects or initiatives in cutting-edge tech domains, and demonstrated ability to mentor and uplift junior team members or peers
Proactive contributions to open-source projects or active involvement in tech communities
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.
Website: https://www.nvidia.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1993
IPO Status: Public
Last Funding Type: Grant
Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality