Member of Technical Staff - Design Verification

ABOUT ARCHITECT 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. WHAT YOU'LL DO As a Founding Member of the Technical Staff on the Design Verification team at Architect, you'll own the verification strategy behind AI-generated designs taping out on leading foundries. You'll 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. WHAT WE'D LIKE TO SEE Qualifications & Skills: - Degree: Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, or a closely related field. - Tapeout Experience: 5+ years (10+ preferred) working on advanced-node tapeouts at top chip companies or fast-moving silicon startups. End-to-end silicon delivery is a strong plus. - Verification Expertise: 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. - Coding: Strong skills in SystemVerilog, UVM, and C/C++ for test environments. Python strongly preferred. - Subsystem Depth: 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 - Methodology: Hands-on experience with simulation and emulation flows and methodologies. Experience mapping IP and SoC designs to FPGA prototypes for fast functional verification. - Execution: Excellent problem-solving, collaboration, and communication skills with strong attention to detail. Ability to work independently and drive cross-functional alignment. - Leadership: Ability and desire to lead the DV function over time as the team scales. Bonus: - 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). WHAT WE OFFER - 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