Senior Technical Product Architect

Posted 7 Hours Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior Technical Product Architect at NVIDIA will architect collaborative solutions with MLOps & LLMOps partners, immerse in NVIDIA AI, develop proof-of-concepts, solve issues, and enhance NVIDIA's software offerings. The role requires 8+ years of technical experience, a Bachelor's degree, expertise in AI & deep learning frameworks, collaborative skills, problem-solving abilities, and a passion for technological advancements in AI.
Summary Generated by Built In

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 passionate Product Architect to join our cause. As part of our team, you'll dive deep into NVIDIA's AI ecosystem, mastering Kubernetes operators, deep learning frameworks, NVIDIA-developed frameworks such as NeMo, RAPIDS, MONAI, Triton, and more. Your expertise will be crucial in engineering solutions with MLOps & LLMOps partners, ensuring NVIDIA AI is seamlessly integrated to optimize AI workflows.

This role is a unique blend of software architecture, data science, and product sensibility. You'll be crafting proof-of-concepts with partners that showcase a joint vision and eventually become integral features in their products. Additionally, you'll collaborate closely with our product managers and engineering leaders to continuously enhance NVIDIA's software offerings. 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:

  • Architecting collaborative solutions with MLOps & LLMOps partners that result in more delightful experiences for AI developers

  • Immersing yourself in NVIDIA AI, becoming an expert in the SDKs, services, and workflows that constitute it

  • Developing proof-of-concepts with partners that demonstrate the joint vision

  • Jumping in to solve issues as partners integrate with NVIDIA AI

  • Working closely with NVIDIA product managers and engineering leads to refine and expand NVIDIA AI

What we need to see:

  • 8+ years working as a Solutions Architect, Software Engineer, Data Scientist, or similarly technical field

  • Bachelors degree or equivalent experience

  • Demonstrated expertise in AI & deep learning frameworks

  • A proven track record of collaborating on technical projects with cross-functional teams

  • Strong problem-solving skills with the ability to craft innovative solutions

  • Effective communication abilities and adept at translating complex technical details to diverse audiences

  • A passion for staying updated with the latest technological advancements in AI and related fields

Ways to stand out from the crowd:

  • Advanced certifications or publications in AI, deep learning, or related fields

  • Experience leading high-impact projects or initiatives in innovative tech domains

  • Proactive contributions to open-source projects or active involvement in tech communities

  • Proven ability to mentor and uplift junior team members or peers

  • Unique problem-solving experience where non-traditional 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!

#LI-Hybrid 

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

Java
Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

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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