Senior Staff DFT Engineer - MBIST

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Bangalore, Bengaluru Urban, Karnataka
In-Office
Artificial Intelligence • Machine Learning • Software
The Role

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.

We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution.  Ready to come find your playground? Together, we can help shape the endless possibilities of AI. 

Location:

Hybrid, working onsite at our Bengaluru, Karnataka, headquarters 3-5 days per week.

The Role: Senior Staff DFT Engineer - MBIST

D-Matrix is searching for an experienced DFX Engineer to join the fast-growing DFT design team. You will be responsible for defining, specifying, and implementing current and future DFX solutions for AI Accelerators SoCs. We’re revolutionizing AI acceleration with Digital In-Memory Computing (DIMC) and heterogeneous chiplet architectures, delivering unprecedented efficiency for data centers and large language models (LLMs). As a Series B startup backed by industry giants, we combine the agility of a disruptor with the technical ambition of a market leader.

Join a dynamic team and give a boost to your personal career in a challenging and fascinating ever-growing, never-boring area! We look forward to welcoming you to the team!

What you will do:

  • Your responsibilities will include:

    • Defining Memory Built-In-Self-Test (MBIST) architecture and running MBIST logic insertion tools

    • Bringing up and writing constraints for register-transfer-level (RTL) test DRC tools.

    • Enabling DFT RTL verification and designing tests to validate all DFT logic

    • Identifying and implementing any required RTL fixes

    • Running scan chain insertion flows and tools

    • Generating scan coverage figures and debugging any gaps

    • Delivering schedules and staging plans for DFT intercepts into overall product timelines

What you will bring:

  • BE / ME (or similar) in Electronic Engineering, Computer Science, Computer Engineering, or a related field

  • 7+ years of experience with DFT technologies, including scan test and MBIST.

  • Experience with a hardware description language such as Verilog, System Verilog, or VHDL

  • Experience with one or more scripting or programming languages (e.g., Perl, Python, TCL, C, etc.)

  • Ability to work well in a diverse team environment.

  • Experience delivering detailed technical documentation

Equal Opportunity Employment Policy

d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.

d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.

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The Company
HQ: Santa Clara, CA
102 Employees

What We Do

d-Matrix is building a new way of doing datacenter AI inferencing using in-memory computing (IMC) techniques with chiplet level scale-out interconnects. Founded in 2019, d-Matrix has attacked the physics of memory-compute integration using innovative circuit techniques, ML tools, software and algorithms; solving the memory-compute integration problem, which is the final frontier in AI compute efficiency.

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