Senior Analog Mixed-Signal Engineer - AI Hardware

Job Title: Senior Analog Mixed-Signal Engineer - AI HardwareJob Location: Austin, TX, Palo Alto, CA, or Ann Arbor, MI - open to remote for strong candidates!Compensation: $150K - $250K base DOE plus equityRequirements: Analog / Mixed-Signal IC Design, Data Converters, Cadence Virtuoso, In-Memory ComputePosition OverviewWe are seeking a Senior Analog Mixed-Signal Engineer to drive circuit architecture, design, and verification for next-generation AI accelerator hardware. This role focuses on mixed-signal and analog compute building blocks including high-performance ADCs/DACs, data converter interfaces, and in-memory/analog compute elements. You will collaborate with system architects, digital design teams, and process/device engineers to optimize performance, power, and area for AI workloads, and deliver robust, silicon-proven IP and chiplets for production.Key ResponsibilitiesArchitect, design, and implement high-performance analog and mixed-signal circuits (ADCs, DACs, comparators, biasing, clocks, and interfaces) for AI accelerator frontend and compute elements.Develop and simulate data converters and analog compute building blocks using Cadence Virtuoso and SPICE; perform corner, PVT, and Monte Carlo analysis to ensure yield and robustness.Create Verilog-A models and SystemVerilog RNM (Real-Number Modeling) representations for behavioral system integration and fast architecture exploration.Collaborate with digital and architecture teams to define system requirements, specify mixed-signal interfaces, and co-optimize algorithms and circuit implementations for AI workloads.Lead characterization, bring-up, and validation of prototypes in the lab; analyze silicon data, debug failures, and implement corrective actions.Design and evaluate in-memory compute and analog compute approaches, including modeling of nonvolatile memory elements (Flash, emerging NVM) and assessing tradeoffs for AI accelerator integration.Develop Python/NumPy models for algorithmic-to-circuit mapping, performance estimation, and co-simulation with device/circuit models.Mentor junior engineers, drive design reviews, and contribute to IP development, documentation, and transfer to test and production teams.Drive continuous improvement in design flows, automated testbenches, and mixed-signal verification methodology to accelerate time-to-market.QualificationsMasters degree or PhD in Electrical Engineering or related field with 5+ years experience in analog/mixed-signal IC design for high-performance applications (AI, communications, or sensors).Demonstrated expertise in Analog/Mixed-Signal IC Design and system-level circuit architecture.Strong experience designing and characterizing Data Converters (ADC, DAC) and related analog frontend circuits.Proficiency with Cadence Virtuoso schematic/layout, Spectre/ SPICE simulation, and hands-on experience with PVT and Monte Carlo flows.Skilled in Verilog-A modeling and SystemVerilog RNM (Real-Number Modeling) for behavioral and system integration.Experience with Analog Compute, In-Memory Compute techniques, and integration of Non-Volatile Memory (Flash, emerging NVM) technologies.Familiarity with AI Accelerator Hardware, accelerator interfaces, and co-optimization of algorithms and circuits for ML workloads.Strong programming skills in Python and NumPy for modeling, data analysis, and automation of simulation flows.Proven track record of silicon bring-up, lab characterization, and debugging of mixed-signal ASICs or chiplets.Excellent communication, cross-functional collaboration, and mentoring skills; ability to influence system decisions and document IP for production.BenefitsFully paid medical, dental, and visionEquityPTO/Vacation401KFlexible work arrangements