DFT-Sr Principal/Principal/Sr Staff Engineer - Bengaluru, India

Bengaluru, Karnataka
Work Type: Full Time



About us 

If you are following the evolution of the leading approach in deep learning powered AI, the renaissance in NLP as well as the next disruption in computer vision, you likely know it’s all about Transformer based models..  They are powering neural nets with billions to trillions of parameters and existing silicon architectures (including the plethora of AI accelerators) are struggling to varying degrees to keep up with exploding model sizes and their performance requirements.   More importantly, TCO considerations for running these models at scale are becoming a bottleneck to meet exploding demand.  Hyperscalers are keen on how to gain COGS efficiencies with the trillions of AI inferences/day they are already serving, but certainly for addressing the steep demand ramp they are anticipating in the next couple of years. d-Matrix is addressing this problem head on by developing a fully digital in memory computing accelerator for AI inference that is highly optimized for the computational patterns in Transformers.  The fully digital approach removes some of the difficulties of analog techniques that are most often touted in pretty much all other in-memory computing AI inference products.  d-Matrix’s AI inference accelerator has also been architected as a chiplet, thereby enabling both a scale-up and scale-out solution with flexible packaging options. The d-Matrix team has a stellar track record in developing and commercializing silicon at scale as senior execs at the likes of Inphi, Broadcom, and Intel.   Notably, they recognized early the extremely important role of programmability and the software stack and are thoughtfully building up the team in this area even since before their Series A. The company has raised $44m in funding so far and has 70+ employees across Silicon Valley, Sydney and Bengaluru.

Why d-Matrix 

We want to build a company and a culture that sustains the tests of time. We offer the candidate a very unique opportunity to express themselves and become a future leader in an industry that will have a huge influence globally. We are striving to build a culture of transparency, inclusiveness and intellectual honesty while ensuring all our team members are always learning and having fun on the journey. We have built the industry’s first highly programmable in-memory computing architecture that applies to a broad class of applications from cloud to edge. The candidate will get to work on a path breaking architecture with a highly experienced team that knows what it takes to build a successful business.

Job Responsibilities

  • Implement modern DFT solutions for leading edge ICs on latest technology nodes.
  • Work with RTL, custom digital/analog, 3rd party IP, verification, physical implementation, and timing teams during this DFT implementation.
  • Set-up, run, and debug block-level, SOC-level as well as full-chip ATPG runs.
  • Drive successful bring-up of test patterns and features post tape-out.


  • Master’s degree and/or PhD in Computer Science, Electrical Engineering, or related fields with at least 10 years of related professional experience preferred.
  • Hands-on experience with scan test, logic, and memory BIST/BISR, functional test, JTAG, and other test methodologies.
  • Strong background in industry standard scan test (including scan compression) and memory BIST/BISR tools.
  • Strong background in IC RTL design and using Verilog/System Verilog.
  • Experience and knowledge of Synthesis, IC routing and static timing tools.
  • Experience and knowledge of functional verification, especially of DFT features.
  • Experience and knowledge of modern JTAG standards and implementation.
  • Experience and knowledge of high-volume test equipment (ATE) and system-level test (SLT).
  • Proficiency with programming and scripting languages such as Perl/TCL.
  • Experience with board/bench debug features and capabilities strongly desired.
  • Must have effective interpersonal and teamwork skills.
  • Proficiency in working with cross functional and cross site teams.
  • Excellent communication skills.
  • Demonstrates good analysis and problem-solving skills.
  • Must have the ability to multi-task in a fast-paced environment.


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