N

NVIDIA

Designs GPUs and AI HPC platforms

MGX Ecosystem Engineer

Full-TimeDeadline 9/20/26
$168k - $258.8k/yr+ Equity
Senior
Bachelor's, Master's
Santa Clara, CA, USA
In PersonTravel domestically and internationally up to 25–40%.
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • A bachelor's degree in Electrical Engineering, Mechanical Engineering, Thermal Engineering, Computer Engineering, or a related technical field, or equivalent experience.
  • At least 6 years of demonstrated ability in hardware platform engineering, systems engineering, ecosystem engineering, or technical partner management.
  • Solid knowledge of server, data center, artificial intelligence infrastructure, networking, storage, or high-performance computing platforms.
  • Demonstrated expertise in at least two of electrical engineering, mechanical engineering, and thermal engineering, with working knowledge of all three.
  • Solid understanding of the hardware development lifecycle from initial concept through mass production.
  • Excellent communication and partner management skills.
  • Ability to travel domestically and internationally up to 25–40%.
Responsibilities
  • Serve as the primary technical interface to MGX and ecosystem partners, including original equipment manufacturers, original design manufacturers, and component suppliers.
  • Drive ecosystem growth by enabling partners to develop high-performance hardware solutions based on MGX platform specifications.
  • Lead technical discussions, product reviews, and ecosystem readiness assessments.
  • Provide system-level engineering expertise spanning electrical, mechanical, and thermal domains.
  • Support the integration of compute, networking, power delivery, cooling, and mechanical subsystems.
  • Define and accomplish validation strategies for ecosystem hardware solutions.
  • Deliver technical training, workshops, and onboarding programs for ecosystem partners.
  • Collaborate with product management, engineering, operations, manufacturing, and business development teams.
Desired Qualifications
  • A master's degree or equivalent experience in Engineering or a related technical field.
  • Experience with artificial intelligence server platforms, graphics processing unit-based systems, high-density compute infrastructure, or hyperscale data center deployments.
  • Familiarity with thermal simulation tools, computer-aided design platforms, and hardware validation methodologies.
  • Experience with liquid cooling technologies and rack-level cooling architectures.
  • Understanding of industry standards and certifications related to server and data center infrastructure.

About the company

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

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Simplify Jobs

Simplify's Take

What believers are saying

  • OpenAI's GPT-6 Astra Ultrafast runs on Blackwell, validating NVIDIA's inference leadership.
  • September 2026 added a $150 billion buyback, signaling relentless cash generation.
  • Meta's multiyear Blackwell-Rubin partnership expands NVIDIA deployments across cloud and on-premises systems.

What critics are saying

  • DeepSeek-Huawei TileLang targets CUDA, and China's ecosystem split deepens in 2026.
  • NVIDIA guides zero China data-center revenue, leaving geopolitical access permanently broken.
  • FTC liability skepticism and Connecticut enforcement expose NVIDIA customers to agent-related lawsuits.

What makes NVIDIA unique

  • CUDA locks 7.5 million developers into NVIDIA's software stack and tooling moat.
  • Blackwell and Rubin keep NVIDIA first on inference performance and deployment cadence.
  • Networking plus BlueField and NVLink turn chips into full AI infrastructure platforms.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

↑ 0%

1 year growth

↓ -1%

2 year growth

↓ -2%
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