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EdgeCortix

Fabless AI accelerator designer for edge

RTL Integration Engineer - Frontend

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • Experience with RTL rule checkers, including Lint, CDC, RDC, and LEC.
  • Proficiency with Verilog, C/C++, and scripting languages such as Tcl, Ruby, Perl, Python, and Makefile.
  • Experience in RTL design, synthesis, static timing analysis, and RTL and netlist power analysis.
  • Understanding of gate-level netlists and physical design flows.
  • Experience with ECO flows, elaboration checks, and physical synthesis.
  • Experience generating design constraints and performing constraints analysis.
  • Four to seven years of relevant experience covering RTL integration, front-end design checks, static timing analysis, and PPA.
  • Knowledge of Chisel-based environments.
  • IP knowledge of PCIe/UCIe, AXI, DDR, or NIC.
  • FPGA integration experience.
  • Formal equivalence experience.
  • Strong written and verbal communication skills.

Responsibilities

  • Own IP integration into ASSP/SoC architectures.
  • Integrate EdgeCortix DNA IP and other third-party IP.
  • Play a key role in developing verification infrastructure involving VIPs, different memory models, and monitors.
  • Improve and automate integration flows.

Desired Qualifications

  • RISC-V integration experience is a plus.
  • Cadence tool-chain experience.
  • Prior CPU, memory, or bus integration at subsystem level.
  • Strong synthesis, timing analysis, and power analysis experience.
  • Experience with scripting languages such as Perl or Python.
  • Good understanding of physical design flows.

About the Company

EdgeCortix

Fabless AI accelerator designer for edge

EdgeCortix designs energy-efficient AI accelerators and software for edge computing in a fabless model, co-designing hardware and software to optimize AI performance on edge devices. Its main products are AI-specific processors and a software platform that, together, enable deploying AI at the edge with low power consumption. Unlike typical hardware vendors, EdgeCortix emphasizes software-centric co-design to maximize efficiency, aiming to deliver scalable edge intelligence for sectors like defense, robotics, and automotive. The company’s goal is to enable practical, power-conscious AI processing on edge devices, supporting broad deployment through its integrated hardware-software ecosystem and ongoing growth funded by investors.

Company size
51-200
Company stage
Debt Financing
Total funding
$197M
Headquarters
Tokyo, Japan
Founded
2019

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