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Architect Labs

AI-driven automated ASIC chip design platform

Member of Technical Staff - Microarchitectural Validation

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaIn-person

About the Job

Requirements

  • A Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, or a closely related field.
  • At least 5 years working on advanced-node tapeouts at top chip companies or fast-moving silicon startups; end-to-end silicon delivery is a strong plus.
  • Deep expertise in verification and validation, emulation, and architectural and system-level verification of industry-standard IPs.
  • A proven track record defining microarchitectural checkers and monitors, modeling IP and SoC validation platforms, and developing modular, reusable validation collateral.
  • Strong skills in SystemVerilog, Universal Verification Methodology, and C/C++ for test environments.
  • Hands-on verification experience in at least one of the following areas: ARM/AMBA protocols (APB, AHB, AXI, and ideally ACE for coherent CPU interfaces); CPU subsystems including boot, interrupts, debug, and coherency; memory controllers and PHY with LPDDR/DDR interfaces and controller-level verification; on-chip interconnect/NoC including routing, arbitration, QoS, and bandwidth; NPU/ML accelerator cores including datapath, scratchpad memory, and DMA engines; or security IPs and/or secure enclaves.
  • Hands-on experience with simulation and emulation flows and methodologies.
  • Experience mapping IP and SoC designs to FPGA prototypes for fast functional verification.
  • Ability to work independently, drive cross-functional alignment, and collaborate effectively.
  • Ability and desire to lead the design verification function as the team scales.

Responsibilities

  • Review AI-driven test plans and validation strategies for internal and external SoC projects.
  • Provide domain-specific expertise to AI/ML teams, including architectural and microarchitectural checks, validation modularity, checkers, coverage models, and interface protocols, and help encode design verification best practices into AI-driven flows.
  • Independently define, drive, and coordinate validation, verification, and integration flows across multiple IPs, including checkpoints and collateral handoffs.
  • Collaborate with architecture, design, and AI/ML leads to generate simulation- and emulation-ready collateral that scales across projects.
  • Track emerging trends in semiconductor verification and AI-driven design automation to improve methodology quality, scalability, and throughput.

Desired Qualifications

  • 10 or more years working on advanced-node tapeouts.
  • Python.
  • Working knowledge of the architecture and microarchitecture of complex digital subsystems, such as CPUs, XPUs, cache-coherency fabrics (NoCs/switches), memory hierarchies, and high-speed I/O protocols.
  • Experience contributing to coverage-driven verification using advanced UVM environments, formal verification, and emulation to validate microarchitectural boundary conditions and corner cases.
  • Participation in post-silicon triage and debug, mapping observed silicon behavior back to RTL using logic analyzers, oscilloscopes, and internal debug hooks.
  • A track record of isolating and resolving difficult hardware/firmware/software interaction bugs, performance bottlenecks, or protocol violations in pre-silicon environments and/or post-silicon bring-up.
  • SoC-level design verification experience bringing up full systems with memory controller, PHY, and CPU connectivity and validating top-level integration.
  • Deep experience with AMBA protocols, specifically ACE for coherent CPU-memory access.
  • FPGA prototyping experience, ideally with Xilinx Vivado/Vitis.
  • Verification experience spanning multiple of interconnects, CPU subsystems, ARM AMBA, memory controllers, and NPUs.
  • Tapeout experience at frontier AI chip startups or tier-1 silicon companies.

About the Company

Architect Labs

AI-driven automated ASIC chip design platform

Architect Labs develops AI-powered tools to automate and speed up ASIC design for the semiconductor industry. It combines artificial intelligence with an integrated workflow for hardware exploration, SystemVerilog construction, verification, and physical design to produce end-to-end, verified chip designs. The platform aims to discover new architectures and generate ready-to-tute designs that are validated for modern machine learning workloads, enabling hardware/material co-optimization between AI models and specialized silicon. Compared to traditional EDA and ASIC design services, Architect Labs focuses on AI-guided architecture search, automated verification, and full-stack co-design to reduce time, cost, and labor in chip development. The goal is to shorten multi-year design timelines, lower upfront costs, and empower more specialized, high-performance silicon for data centers, automotive, robotics, and edge applications.

Company size
11-50
Company stage
Seed
Total funding
$24M
Headquarters
Palo Alto, CA
Founded
2025

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