Embedded Solutions Architect for AI Hardware & Systems

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 116,000 - 190,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks a Customer Solution Architecture and Application Engineer to join our team. You will collaborate with hardware design to enable NVIDIA's Embedded products and lead a Partner Enablement team to ensure quality, performance, and smooth integration from NPI to mass production.

You will work with Tier-1 OEMs and internal teams to define system-level requirements, optimize power and thermomechanical integration, and deliver highly performing embedded solutions using NVIDIA SoC platforms.

Qualifications

• 3+ years of proven experience in embedded or hardware-focused roles.
• BS or equivalent in EE/CE/CS engineering or related field.
• Experience leading multidisciplinary teams across hardware, firmware, software, validation and PM.

Responsibilities

• Collaborate with Tier-1 and OEM customers and internal teams to develop future Embedded architectures and roadmaps.
• Define system-level requirements for Embedded architectures using NVIDIA SoC solutions and maintain design docs and test plans.
• Evaluate system performance, power, and thermomechanical integration while providing feedback for improvements.
• Lead a Partner Enablement team to ensure product quality, reliability, and smooth integration into customers' products.

Skills

Team leadership

Communication

Problem solving

Cross-functional collaboration

AI hardware knowledge

Education

BS in EE/CE/CS or equivalent

Tools

Embedded systems integration

SoC knowledge

Job description

NVIDIA seeks a Customer Solution Architecture and Application Engineer to join our team. You will collaborate with hardware design to enable NVIDIA's Embedded products and lead a Partner Enablement team to ensure quality, performance, and smooth integration from NPI to mass production.

You will work with Tier-1 OEMs and internal teams to define system-level requirements, optimize power and thermomechanical integration, and deliver highly performing embedded solutions using NVIDIA SoC platforms.