Staff Design Verification Engineer at d-Matrix

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SemiconductorsIndustries

Requirements

BS in Electrical Engineering, Computer Science, or a related field with 7+ years of industry experience, or an MS in Electrical Engineering, Computer Science, or a related field with 5+ years of industry experience (preferred)
Experience in SoC verification cycle from architecture to tape-out to bring-up
Good knowledge of verification methodologies such as UVM/OVM, etc
Hands-on ASIC-SoC design verification tests and debug experience
Fluency with SystemVerilog randomization constraints, coverage, and assertions methodology
Good problem-solving skills and the passion to take on challenges (particularly in AI domain)
Good experience with SystemVerilog and verification methodology (UVM/OVM/VMM)
Passionate about AI and thriving in a fast-paced and dynamic startup culture
Preferred
Experience with C/C++ and SystemC (a big plus!)
Successfully led the creation/implementation of multiple SoC verification environments and tape-out efforts

Responsibilities

(Note: Specific responsibilities not explicitly listed in job description; role involves working on pathbreaking in-memory computing architecture as Staff Design Verification Engineer in SoC verification.)

Skills

Key technologies and capabilities for this role

SystemVerilogUVMOVMSoC VerificationASIC VerificationVerification DebugRandomizationTape-outSilicon Bring-up

Questions & Answers

Common questions about this position

What is the work location and arrangement for this role?

The position is hybrid, requiring onsite work at the Bangalore offices 3 days per week.

What are the minimum qualifications and experience required?

Candidates need a BS in Electrical Engineering, Computer Science, or related field with 7+ years of industry experience, or an MS with 5+ years preferred, plus experience in SoC verification cycle and verification methodologies like UVM/OVM.

What key technical skills are needed for this position?

Required skills include hands-on ASIC-SoC design verification tests and debug experience, fluency with SystemVerilog randomization constraints, coverage, and assertions, and good experience with SystemVerilog and UVM/OVM/VMM.

What is the company culture like at d-Matrix?

The culture emphasizes respect, collaboration, humility, direct communication, inclusiveness, transparency, intellectual honesty, and having fun while learning, with a focus on diverse perspectives for better solutions.

What makes a strong candidate for this Staff Design Verification Engineer role?

Strong candidates have good problem-solving skills, passion for AI challenges, experience thriving in a fast-paced startup, and preferably experience with C/C++, SystemC, and leading SoC verification environments to tape-out.

d-Matrix

AI compute platform for datacenters

About d-Matrix

d-Matrix focuses on improving the efficiency of AI computing for large datacenter customers. Its main product is the digital in-memory compute (DIMC) engine, which combines computing capabilities directly within programmable memory. This design helps reduce power consumption and enhances data processing speed while ensuring accuracy. d-Matrix differentiates itself from competitors by offering a modular and scalable approach, utilizing low-power chiplets that can be tailored for different applications. The company's goal is to provide high-performance, energy-efficient AI inference solutions to large-scale datacenter operators.

Santa Clara, CaliforniaHeadquarters

2019Year Founded

$149.8MTotal Funding

SERIES_BCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Hybrid Work Options

Risks

Competition from Nvidia, AMD, and Intel may pressure d-Matrix's market share.

Complex AI chip design could lead to delays or increased production costs.

Rapid AI innovation may render d-Matrix's technology obsolete if not updated.

Differentiation

d-Matrix's DIMC engine integrates compute into memory, enhancing efficiency and accuracy.

The company offers scalable AI solutions through modular, low-power chiplets.

d-Matrix focuses on brain-inspired AI compute engines for diverse inferencing workloads.

Upsides

Growing demand for energy-efficient AI solutions boosts d-Matrix's low-power chiplets appeal.

Partnerships with companies like Microsoft could lead to strategic alliances.

Increasing adoption of modular AI hardware in data centers benefits d-Matrix's offerings.

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