UVM Verification Engineer, Celestial AI

$185-215k

+ Bonus + Equity

Python

Senior and Expert level

San Francisco Bay Area

Office located in Santa Clara, CA

Optical interconnect technology platform

Job no longer available

Optical interconnect technology platform

101-200 employees

B2BEnterpriseManufacturingDeep TechMachine Learning

Job no longer available

$185-215k

+ Bonus + Equity

Python

Senior and Expert level

San Francisco Bay Area

Office located in Santa Clara, CA

101-200 employees

B2BEnterpriseManufacturingDeep TechMachine Learning

Company mission

To develop audacious AI computing platforms that elevate performance, energy and economic efficiencies, enabling our customers to rapidly deploy innovations in their AI applications.

Job

Company

Role

Who you are

Bachelor's degree in electrical engineering or related discipline with a minimum of 5 years of relevant experience; Master's degree preferred
Strong proficiency in SystemVerilog and deep expertise in UVM methodology, including constrained random testing techniques
Solid scripting skills, particularly in Python, to automate verification tasks and infrastructure
Proven track record achieving thorough functional and code coverage, demonstrating high-quality verification outcomes
Excellent communication skills, with the ability to effectively collaborate across diverse technical teams

What the job involves

We are seeking an experienced Verification Engineer with strong expertise in SystemVerilog and UVM methodologies to join our collaborative team
You will play a key role in defining verification strategies, developing robust UVM environments, and enhancing our overall verification infrastructure. Our team works on complex IP and SoC verification, including emulation, AMS Co-Simulation, and industry-leading UVM methodologies
Develop UVM testbenches, stimulus, and constraints
Establish detailed test plans ensuring complete functional and code coverage
Lead rigorous testbench reviews involving designers, architects, and software engineers to uphold verification quality
Ensure that our SoCs are functionally correct by developing SystemVerilog/UVM verification environments
Create detailed verification plans for block-level, IP, and SoC-level projects
Collaborate closely with ASIC and SoC design teams to manage milestones and ensure timely deliverables
Drive continuous improvement of verification methodologies and processes
Build and optimize verification infrastructure to enhance efficiency and effectiveness
Coordinate with software and emulation teams to ensure first-pass tapeout success

Our take

Chip production forms the backbone of our modern, digitally enabled economy; being important enough to be of major geopolitical interest, and garnering billions of investment from the US alone. Celestial AI has developed a proprietary technology platform which enables high-performance computing solutions, using light for data movement within and between chips, enabling it to deliver "the next generation of AI acceleration products".

The company's photonic-electronic technology has sparked significant interest in the AI hardware space, and has resulted in it raising impressive investment. This supported the expansion of its engineering workforce and supplier relationships, as well as accelerated product development. In 2026, Celestial AI was acquired by Marvell Technology which marks the next chapter in its journey.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 6 rounds)

Mar 2025

$250m

SERIES C

Mar 2024

$175m

SERIES C

Total funding: $588.9m

Company benefits

Equity grants
Health, dental, and vision insurance
Retirement plans
FSA
Parental leave
Flexible paid time off policy

Company HQ

Santa Clara, CA

Leadership

David Lazovsky

(Co-Founder & CEO)

Previously a Venture Partner at Khosla Ventures. Before that, Founder, President and CEO of Intermolecular developing IP-protected technology for semiconductor and clean energy customers.

Preet Virk

(Co-Founder & COO)

Previously SVP of GM Networking BU at MACOM.

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