We are seeking an experienced Digital Mixed-Signal System Architect to help develop next-generation digital power management products for AI, datacenter, and high-performance computing applications.
This role focuses on the digital architecture connecting analog measurements to control-loop decisions, including ADC interfaces, DSP, telemetry, fixed-point implementation, emulation, and hardware/firmware integration.
Why This is the Mixed-Signal Architect Position for You:
- Base Salary in the $225K Range + 20% Bonus + RSU's
- Hybrid Work: 2 Days Remote
- Very Stable, Global Company, Advancing AI Computing Capabilities
- High Impact Role with All Resources at Your Disposal
Key Responsibilities
- Define digital mixed-signal architecture for multiphase power controllers and power management ICs.
- Architect ADC interfaces and DSP data paths for filtering, sampling, telemetry, protection, and control-loop functions.
- Develop models and translate system requirements into RTL-facing specifications, firmware interfaces, and validation plans.
- Analyze tradeoffs involving latency, noise, resolution, dynamic range, power, and performance.
- Collaborate across digital design, analog, firmware, verification, validation, and applications teams.
Qualifications
- 8+ years of experience in digital systems architecture, mixed-signal SoCs, DSP, power management, or related semiconductor development.
- Strong knowledge of DSP, fixed-point arithmetic, sampling theory, filtering, timing, latency, and quantization.
- Experience with ADC-facing digital logic, telemetry/sensor data paths, digital controllers, or control-loop systems.
- Experience translating system requirements into RTL architecture, firmware behavior, models, and validation specifications.
- Bachelor's degree in Electrical Engineering, Computer Engineering, or related field.
Preferred
- Experience with digital power, DC/DC converters, PMICs, voltage regulators, or multiphase control.
- Experience with SystemVerilog, Python, MATLAB, C/C++, FPGA prototyping, or behavioral modeling.
- Master's or PhD in a relevant engineering discipline.