Jobs · Engineering · California

Member of Technical Staff - Design Verification

Architect · Palo Alto, CA · Yesterday
EngineeringFull-time
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, coherencyMemory controllers and PHY — LPDDR/DDR interfaces, controller-level verificationOn-chip interconnect / NoC — routing, arbitration, QoS, bandwidthNPU / ML accelerator cores — datapath, scratchpad memory, DMA enginesSecurity IPs and/or working with secure enclavesMethodology: 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 stakeFast-paced startup with autonomy and visible impactCutting-edge challenges at the intersection of AI and silicon design

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