Embedded Solutions Architect & Applications Engineer

NVIDIA

United States

On-site

USD 116,000 - 190,000

Full time

9 days ago

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Job summary

NVIDIA is seeking a Customer Solution Architecture and Application Engineer to join our team. In this pivotal role, you will collaborate with our key hardware design teams to enable NVIDIA's next-generation Embedded products and system solutions.

You will lead a Partner Enablement team to ensure product quality and reliability, optimize system performance, and manage integration from NPI through mass production, engaging with customers and internal teams across architecture, validation, and

Qualifications

  • 3+ years of hands-on experience in embedded systems or related field.
  • Experience leading multidisciplinary teams across hardware, firmware, software, validation, and AI algorithm groups.
  • Strong communication and collaboration skills.
  • Deep knowledge of AI hardware products and their applications.

Responsibilities

  • Collaborate with Tier-1 and OEM customers and internal teams to develop future Embedded architectures and roadmaps.
  • Work with hardware, firmware, software, sensors validation, and AI teams to integrate NVIDIA Embedded solutions into customer products.
  • Define system-level requirements and create design documentation, test plans, and enablement materials.
  • Evaluate and enhance system performance, power, and thermomechanical integration; provide feedback for improvements.
  • Ensure customer solutions are optimized for top performance across NVIDIA teams.

Skills

Team leadership
Excellent communication
Complex problem solving
AI hardware knowledge

Education

BS in EE/CE/CS or equivalent experience

Job description

NVIDIA is seeking a Customer Solution Architecture and Application Engineer to join our team. In this pivotal role, you will collaborate with our key hardware design teams to enable NVIDIA's next-generation Embedded products and system solutions.

You will lead a Partner Enablement team to ensure product quality and reliability, optimize system performance, and manage integration from NPI through mass production, engaging with customers and internal teams across architecture, validation, and

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