Hardware System Engineer

Posted 7 Days Ago
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Mountain View, CA
Expert/Leader
Artificial Intelligence • Hardware • Software
The Role
The Hardware System Engineer will design AI compute boards, collaborate across teams, debug hardware issues, and deliver effective silicon products.
Summary Generated by Built In

MatX's mission is to make the world’s best AI models run as efficiently as allowed by physics, bringing the world years ahead in AI quality and availability. MatX is seeking silicon verification engineers to join our team as we create best-in-class silicon for high-performance and sustainable GenAI. Successful candidates for these roles will be responsible for delivering performant and functionally accurate silicon for MatX products across compute, memory management. High-speed connectivity and other key technologies.

Responsibilities 

  • Full ownership of board design, specifications, schematic design, verification and reliability test plan for our AI compute boards
  • Design and capture schematic and work with layout engineers to release Gerber files
  • Collaborate with cross-functional teams, such as thermal, mechanical, SIPI, ASIC, platform software and manufacturing diagnostic software teams.
  • Bring up boards and debug hardware issues in the lab 
  • Support platform and manufacturing tests 


Qualifications

  • At least 10 years of experience in system-level development, preferably within the server, computer, or network industries. 
  • Proficient in DC/DC PoL and multi phase VRM designs and verifications with 48V and 12V bus. Experience with high-power AI server design is desirable. 
  • Experience with BMC and DC-SCM designs
  • Experience with 100G+ Ethernet and high-speed SerDes interfaces, PCIe Gen5/6, SPI, I2C, UART
  • Familiar with criteria of critical components selection
  • Hands-on experience with board design using schematic capture tools and Allegro
  • Hands on experience on lab equipment such as real time scope, logic analyzer, PCIe exerciser and analyzer.
  • Demonstrated ability in lab bring-up and design validation
  • Proven track record of delivering shipped products
  • Excellent verbal and written communication skills
  • Excellent team player
  • This position requires both design work and lab work

Compensation: The US base salary for this full-time position is $160,000 - $400,000 + equity + benefits

As part of our dedication to the diversity of our team and our focus on creating an inviting and inclusive work experience, MatX is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances.

All candidates must be authorized to work in the United States and work from our offices in Mountain View Tuesdays-Thursdays.

This position requires access to information that is subject to U.S. export controls. This offer of employment is contingent upon the applicants capacity to perform job functions in compliance with U.S. export control laws without obtaining a license from U.S. export control authorities.


MatX does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or People team and any resumes submitted are deemed to be the property of MatX.

Top Skills

100G+ Ethernet
12V Bus
48V
Allegro
Bmc
Dc-Scm
Dc/Dc Pol
High-Speed Serdes Interfaces
I2C
Multi Phase Vrm
Pcie Gen5
Pcie Gen6
Schematic Capture Tools
Spi
Uart
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The Company
HQ: Mountain View, CA
19 Employees
On-site Workplace

What We Do

MatX designs hardware tailored for the world’s best AI models: We dedicate every transistor to maximizing performance for large models. For these models, we deliver 10× more computing power, enabling AI labs to make models an order of magnitude smarter and more useful. Our hardware would make it possible to train GPT-4 and run ChatGPT, but on the budget of a small startup.

A world with more widely available intelligence is a happier and more prosperous world—picture people of all socioeconomic levels having access to an AI staff of specialist MDs, tutors, coaches, advisors, and assistants.

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