Pre-Silicon Verification Engineer for AI

Reposted 25 Days Ago
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Los Altos, CA, USA
In-Office
Senior level
Software
The Role
Verify chip-level and performance behavior of custom ASICs: design end-to-end test flows with architecture team, run simulation-based verification, implement UVM environments, use constrained-random and functional-coverage methodologies, and coordinate vendors/contractors.
Summary Generated by Built In
Description

About Majestic Labs

We’re a fast-moving, US-Israeli AI startup building next-generation infrastructure for the world’s most demanding AI workloads. Our mission is to accelerate the future of intelligence and make it ubiquitously accessible by delivering full stack custom AI servers optimized for large-scale inference and training.

Backed by top-tier investors and led by industry veterans, we’re scaling rapidly. We seek forward-thinking engineers and operators who thrive in a collaborative environment and excel at solving complex challenges from first principles. If you want to build infrastructure that fundamentally changes what the world can accomplish with AI, come join us!

About the position

We are looking for an experienced, highly skilled and motivated Pre-Silicon Verification Engineer to join our core team. In this role, you will be responsible for chip-level and performance verification of one of our custom ASICs. 

Responsibilities

  • Work with our engineers and partners to help verify our ASICs
  • Work with our architecture team to understand our architecture and to design end-to-end test flows and methodologies to verify real-world performance scenarios
  • Manage vendors and/or contractors as necessary
Requirements
  • Bachelor’s or Master’s in Computer Science, Computer Engineering, or a related field from a recognized university
  • Expert-level experience with simulation tools & flows (VCS, Verdi, NCSim and the like)
  • Scripting experience in Perl and/or Python
  • 5+ years experience using constrained random & functional coverage based verification methodologies on large design blocks
  • 5+ years hands-on coding of UVM verification environments
  • C/C++ expertise is a plus
  • Excellent communication skills and a strong track record of cross-functional collaboration

Preferred Qualifications

  • Experience with and understanding of common LLMs
  • Experience with AI or other large-scale datacenter-grade ASICs
  • Experience doing performance verification of compute or networking ASICs

We seek smart, curious, self-driven individuals who enjoy creative problem-solving and continuous learning. Even if you don't meet all requirements, we'd love to hear from you if you have the mindset to tackle complex challenges.

Majestic Labs is an equal opportunity employer deeply committed to diversity of background and thought. If you are ready to dare greatly, learn from mistakes, engage in vigorous debates, and help create a step-function shift in human technical capability, we want to meet you!

Skills Required

  • Bachelor's or Master's in Computer Science, Computer Engineering, or related field
  • Expert-level experience with simulation tools and flows (VCS, Verdi, NCSim)
  • Scripting experience in Perl and/or Python
  • 5+ years using constrained-random and functional-coverage based verification methodologies on large design blocks
  • 5+ years hands-on coding of UVM verification environments
  • Excellent communication skills and strong cross-functional collaboration track record
  • C/C++ expertise
  • Experience with and understanding of common LLMs
  • Experience with AI or datacenter-grade ASICs
  • Experience doing performance verification of compute or networking ASICs
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The Company
55 Employees
Year Founded: 2023

What We Do

Majestic Labs is reimagining AI infrastructure for the world’s most demanding workloads. Today, organizations are forced to overprovision expensive compute just to access the required memory their models need. We took a fundamentally different approach by pairing a massive amount of compute with 1000x the memory to create game changing improvements in performance, power and deployment efficiency. Our customers can literally replace racks of traditional AI infrastructure with a single Majestic server.

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