Full-Time

System Design Engineer

Posted on 5/2/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Compensation Overview

$160k - $304.8k/yr

+ Equity

Senior

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

Category
Electronics Design Engineering
Electrical Engineering
Required Skills
Oscilloscope
Linux/Unix
Connection
Connection
Connection
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Requirements
  • B.S or M.S. in Electrical Engineering or equivalent experience.
  • 5+ years of proven experience.
  • Have strong analytical skills including past experience in PCB design and review.
  • Experience with using lab tools such as oscilloscopes, multimeters, and logic analyzers.
  • Possess a nurtured knowledge of Linux, and be very comfortable working in various Linux environments as well as with Windows OS’s
  • Strong verbal and written skills.
Responsibilities
  • Build system hardware products around GPU & Tegra SoC.
  • Collaborate with cross-function team to pursue the balance of product cost, performance, and schedule under the guidance of system architects and product architects.
  • Drive initial test and bringup, lead the debug efforts.
  • Create schematic, supervise PCB layout and system validation.
  • Handle documentation required to release the product to manufactures and partners.
  • Optimize/invent circuits, functions for better performance, and lower cost.
  • Improve the design flow together with the infrastructure team.

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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms for developers and data scientists. NVIDIA differentiates itself from competitors by focusing on advanced technology and continuous innovation, ensuring their products meet the evolving needs of users. The company's goal is to lead in AI and HPC solutions, providing powerful hardware and software that enable immersive experiences and drive advancements in fields like machine learning and computer vision.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's acquisition of Lepton AI boosts its AI cloud market position.
  • Collaboration with Utilidata opens new markets in energy management and smart grids.
  • Involvement in nEye Systems' optical chips enhances data center solutions.

What critics are saying

  • Silicon photonics technology could challenge NVIDIA's electrical interconnects in data centers.
  • SandboxAQ's quantum AI models may compete with NVIDIA's AI solutions.
  • Integration of Gretel's synthetic data technology may delay product rollouts.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in AI cloud solutions through strategic acquisitions like Lepton AI.
  • NVIDIA's partnerships enhance its capabilities in smart grid and energy management.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

1%

2 year growth

0%
Canary Media
Apr 29th, 2025
Utilidata raises $60M for smarter grids

Utilidata has raised $60 million to explore the potential of AI chips in enhancing grid intelligence. Collaborating with Nvidia and utility partners like Portland General Electric and Duquesne Light, the projects aim to gather detailed grid data, particularly regarding distributed energy resources like rooftop solar and EV chargers. These efforts focus on optimizing grid operations through virtual power plants and distributed energy resource management systems, leveraging real-time data and communication.

SiliconANGLE
Apr 11th, 2025
nEye Systems raises $58M for AI chips

Silicon photonics startup nEye Systems raised $58M in funding led by CapitalG, with participation from Microsoft, Micron, Nvidia, and others. The Emeryville-based company is developing optical networking chips for AI data centers, promising faster, more efficient, and cost-effective data transfers. nEye's technology aims to overcome bandwidth and energy limitations of current electrical interconnects. Prototypes are ready, with production samples expected next year. Total funding exceeds $72M.

Aibase
Apr 8th, 2025
Nvidia Acquires Lepton AI for Millions

Nvidia has completed its acquisition of Lepton AI, a startup founded by former Alibaba VP Yangqing Jia, for reportedly hundreds of millions of dollars. Lepton AI, established in 2023, focuses on AI infrastructure and cloud solutions. Co-founders Yangqing Jia and Junjie Bai have joined Nvidia. Jia, a notable AI expert, previously contributed to TensorFlow at Google and led AI R&D at Alibaba.

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Rescale Raises $115M in Venture Funding

Rescale, a San Francisco-based startup specializing in engineering software for designing race cars and computer chips, secured $115 million in venture financing.

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Apr 4th, 2025
AI startup SandboxAQ adds Nvidia, Google as backers, raises additional $150 million

SandboxAQ, a startup drawing on quantum computing techniques to develop quantitative artificial intelligence models for enterprises, said it has raised $150 million from new investors including Google, Nvidia and BNP Paribas .