About The Position

Architect is a frontier AI lab for chip design. We build AI models and tools for on-demand custom ASICs at scale. Our goal is to co-design custom ASICs alongside evolving ML workloads, and enable a new era of domain-specific chips that unlock capabilities impossible with current hardware paradigms. Born out of Stanford Research, our team blends AI with Silicon with a founding team from Anthropic, Google DeepMind, Meta SuperIntelligence, xAI, Apple and Intel.

Requirements

  • Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, or a closely related field.
  • 5+ years (10+ preferred) working on advanced-node tapeouts at top chip companies or fast-moving silicon startups.
  • Deep expertise in verification/validation, emulation, and architectural and system-level verification of industry-standard IPs.
  • Proven track record defining microarchitectural checkers and monitors, modeling IP and SoC validation platforms, and developing modular, reusable validation collateral.
  • Strong skills in SystemVerilog, UVM, 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 — boot, interrupts, debug, coherency, Memory controllers and PHY — LPDDR/DDR interfaces, controller-level verification, On-chip interconnect / NoC — routing, arbitration, QoS, bandwidth, NPU / ML accelerator cores — datapath, scratchpad memory, DMA engines, Security IPs and/or working with 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.
  • Excellent problem-solving, collaboration, and communication skills with strong attention to detail.
  • Ability to work independently and drive cross-functional alignment.
  • Ability and desire to lead the DV function over time as the team scales.

Nice To Haves

  • End-to-end silicon delivery is a strong plus.
  • Python strongly preferred.
  • SoC-level DV experience — bringing up full systems with memory controller + PHY + CPU connectivity, validating top-level integration.
  • Deep experience with AMBA protocols, specifically ACE for coherent CPU-memory access.
  • FPGA prototyping experience (ideally Xilinx Vivado/Vitis).
  • Verification experience spanning multiple of: interconnects, CPU subsystems, ARM AMBA, memory controllers, NPUs.
  • Tapeout experience at frontier AI chip startups (MatX, Groq, Cerebras, d-Matrix, etc.) or tier-1 silicon companies (Apple, NVIDIA, Google, Qualcomm, Broadcom, AMD).

Responsibilities

  • Own the verification strategy behind AI-generated designs taping out on leading foundries.
  • Work at the intersection of rigorous hardware verification and AI-driven design automation.
  • Review AI-driven test plan, and validation strategy for internal and external SoC projects.
  • Provide domain-specific expertise to our AI/ML teams, including architectural and microarchitectural checks, validation modularity, checkers, coverage models, and interface protocols — helping encode DV best practices into our 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 keep our methodology cutting-edge in quality, scalability, and throughput.

Benefits

  • Competitive salary and meaningful equity stake
  • Fast-paced startup with autonomy and visible impact
  • Cutting-edge challenges at the intersection of AI and silicon design
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