Senior Platform Architect: AI-Driven Enterprise Systems

NVIDIA Corporation; Santa Clara (CA); Presencial; USD 168.000 - 270.000; Jornada completa

Descripción de la vacante

NVIDIA is seeking an experienced Systems Architect/DevOps/Platform Engineer to help design and scale enterprise AI infrastructure. You will architect purpose-built AI server, networking, and storage solutions and collaborate with teams across CPUs, GPUs, and related platforms.

You will develop proofs-of-concepts with partners, run product reviews, and help set benchmarks. This role requires deep systems knowledge, strong cross-functional collaboration, and a passion for AI advances.

Formación

• 12+ years in systems architecture, DevOps, or platform engineering.
• Bachelor's degree or equivalent experience.
• Proven expertise in systems and networking architecture.
• Track record collaborating on technical projects with cross-functional teams.
• Strong problem-solving and ability to craft innovative solutions.
• Effective communication and ability to translate technical details to diverse audiences.
• Passion for staying updated with AI advancements.

Responsabilidades

• Architect collaborative AI server, networking, and storage solutions.
• Engage with NVIDIA Enterprise Platforms: CPUs, GPUs, and related tech.
• Develop proofs-of-concepts with partners.
• Lead virtual product reviews and set benchmarking standards.
• Address integration issues as partners adopt NVIDIA platforms.
• Collaborate with product managers and engineering leads to refine platforms.
• Champion customer-first delivery and rapid execution.

Conocimientos

Systems architecture

DevOps engineering

Platform engineering

Cross-functional collaboration

Problem solving

Communication

AI awareness

Educación

Bachelor's degree

Equivalent experience

Descripción del empleo

NVIDIA is seeking an experienced Systems Architect/DevOps/Platform Engineer to help design and scale enterprise AI infrastructure. You will architect purpose-built AI server, networking, and storage solutions and collaborate with teams across CPUs, GPUs, and related platforms.

You will develop proofs-of-concepts with partners, run product reviews, and help set benchmarks. This role requires deep systems knowledge, strong cross-functional collaboration, and a passion for AI advances.