System Application Engineer - Notebook

Reposted 8 Days Ago
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Santa Clara, CA, USA
In-Office
108K-213K Annually
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The System Application Engineer will manage system collateral and customer support for SoC platforms, working closely with OEMs. Responsibilities include defining and maintaining system requirements and collaborating with various teams to deliver solutions.
Summary Generated by Built In

The System Application Engineer will own end‑to‑end system collateral and PoR‑driven customer support for SoC platforms, working closely with OEM and the NVIDIA Architecture team. This high-impact role requires deep expertise in SoC architecture and hands-on experience driving technical engagement with OEM/ODM customers. The role focuses on defining and maintaining system requirements (electrical, thermal, and functional) and enabling partners to design compliant, high‑quality products.

What you’ll be doing:

  • Work directly with OEM and the NVIDIA Architecture team to define and maintain SoC product collateral, including Datasheet, PinMux, Hardware Design Guide, Product Specification, and Partner Guidelines.

  • Lead and document PoR (Plan‑of‑Record) discussions for SoC platforms, aligning internal and external stakeholders on features, constraints, and schedules.

  • Define and review GPU/CPU/DLA/memory electrical and thermal requirements at the system level (power delivery, interfaces, cooling, operating conditions, derating, etc.).

  • Define and review SoC high speed I/O ( eDP, DP, HDMI,PCIe, USB-C) specification, design rules and validation plan.

  • Serve as the technical point of contact for customer support on POR, board design, bring-up, and validation issues.

  • Drive continuous updates to design collateral based on silicon learning, field feedback, and new feature enablement.

  • Collaborate cross-functionally across architecture, silicon, hardware, thermal, and software teams to resolve issues and deliver robust solutions.

  • Be involved in customer interaction, set up and drive customer communication via conference calls, and face to face meetings

What we need to see:

  • BS/MS in Electrical Engineering, Computer Engineering, or related field (or equivalent experience).

  • 3+ years’ experience in system‑level hardware design (SoC, GPU/CPU, power, high‑speed interfaces).

  • Experience with datasheets, PinMux definitions, hardware design guides, and customer design reviews.

  • Solid understanding of electrical and thermal requirements for high‑power SoC/GPU/CPU systems.

  • Excellent communication skills and proven experience working with external partners (OEM/ODM or silicon partners).

Ways to stand out from the crowd:

  • 3+ experiences on Notebook design, USB-C and battery charging

  • Experience with ARM, PMIC, regulators, battery life optimization

  • Hardware design and knowledge of PCIe, I2C, DP/eDP/HDMI, USB-C,WiFi, Audio.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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

Cpu
Electrical Design
Gpu
Hdmi
High-Speed Interfaces
Pcie
Power Delivery
Soc Architecture
Thermal Design
Usb-C
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The Company
HQ: Santa Clara, CA
21,960 Employees
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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