Hardware Application Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

BS or higher in EE or Systems Engineering or equivalent experience
5 years’ experience with notebook system design (hardware and software)
Programming knowledge in Python/C/C++/VB/Linux Shell programming
5 years’ experience with regulator and PMIC design, PDN analysis, power sequence
Professional-level interpersonal skills, including ability to adjust communication to the technical level of the audience and drive technical issues across multiple teams
Nurtured knowledge of Linux and comfort working in various Linux environments as well as with Windows OS’s
Good knowledge of x86 System Architecture and ACPI
Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.)
Ways to stand out
BIOS engineer experience for 2+ years
Experience with ARM, PMIC, Regulator
Experience on SBIOS features developing specific platforms (MMIO, SMBus, IPMI, IOAPIC a plus)
Hardware design and knowledge of PCIe, I2C, DP/eDP/HDMI, USB-C, I2S, SATA
Extensive knowledge of notebook hardware, circuit design, power, thermal and electrical systems

Responsibilities

Work with NVIDIA multi-functional teams for GPU and SoC feature development, testing, and debugging
Provide technical support during development, testing, and production
Perform hardware and software design reviews to ensure customer designs meet NVIDIA guidelines
Conduct the installation, configuration, debug and bring-up of customer hardware
Work directly with NVIDIA customers, analyze data to answer questions, reproduce errors, resolve, or escalate customer issues
Be involved in customer interaction, set up and drive customer communication via conference calls and face-to-face meetings
Supervise, file new bugs and reproduce issues as needed
Build design guides, application notes and other supporting technical collateral
Work with PMIC, power sequence, battery life and regulator design

Skills

Hardware Design

Software Design

Python

C++

Linux

GPU

SoC

PMIC

Power Sequence

Debugging

Testing

Notebook Systems

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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