Power IP and System Validation Engineer

THE PERSON:

You are a technically curious and highly analytical systems engineer who enjoys solving complex problems at the intersection of hardware, firmware, and software. You bring a structured and data-driven approach to silicon debug, characterization, and root-cause analysis.

You communicate effectively across technical disciplines, take ownership of challenging assignments, and can independently drive work to completion. You are detail-oriented, collaborative, and comfortable providing technical direction in a fast-paced product-development environment.

KEY RESPONSIBILITIES:

• Lead post-silicon bring-up, characterization, and validation of analog and mixed-signal power-management IP, including integrated voltage regulators, low-dropout regulators, system-monitoring sensors, and power-gating controllers.

• Develop and execute characterization plans to evaluate IP performance against specifications across voltage, frequency, temperature, and process conditions.

• Analyze silicon measurement data and tune IP operating parameters, including voltage-frequency curves, voltage margins, power-gating sequences, and oscillator calibration.

• Develop and maintain firmware routines and control algorithms that configure and operate power-management IP during boot, runtime, and power-state transitions.

• Debug silicon failures and performance shortfalls by correlating laboratory measurements, firmware traces, register activity, RTL behavior, and schematic-level design information.

• Partner with analog mixed-signal design, RTL, platform firmware, validation, and production teams to resolve characterization findings and support engineering change orders when appropriate.

PREFERRED EXPERIENCE:

Post-Silicon Validation and Laboratory Debug

• Strong experience with post-silicon bring-up, debug, validation, and characterization.

• Experience characterizing analog or mixed-signal power-management IP on CPU, GPU, or other complex SoC platforms.

• Experience with board-level and platform-level debug, including power delivery, sequencing, analysis, and optimization.

• Proficiency using laboratory equipment such as oscilloscopes, power analyzers, network analyzers, protocol analyzers, logic analyzers, thermal-control equipment, and bench power supplies.

• Knowledge of power-measurement techniques, including on-die current sensing, power-distribution-network probing, and voltage-drop measurement.

• Experience with hardware assembly, laboratory automation, and remote laboratory operations.

• Strong understanding of system architecture, silicon-debug methodologies, validation strategies, and root-cause analysis.

Power Management and Analog Mixed-Signal IP

• Understanding of on-die power-management technologies, including integrated voltage regulators, low-dropout regulators, power-gating controllers, system-monitoring sensors, and voltage-frequency curve generation.

• Familiarity with analog building blocks such as voltage regulators, digital-to-analog converters, analog-to-digital converters, comparators, oscillators, and bandgap references.

• Knowledge of design-for-debug techniques and debug interfaces such as JTAG, M&M, SPMI, and scan-based architectures.

Firmware, Programming, and Automation

• Firmware development experience using C or C++ for embedded microcontrollers, system-management units, security processors, or similar control processors.

• Programming and scripting experience with Python, Linux Bash, Perl, Ruby, or comparable languages.

• Experience developing test automation, data-collection, and analysis solutions.

• Familiarity with Windows scripting for platform-level validation environments.

• Experience using source-control systems such as Git or Perforce and working within structured firmware-development processes.

• Familiarity with Portable Stimulus Standard or comparable test-specification frameworks is beneficial.

Data Analysis and Infrastructure

• Experience using Python data-analysis libraries such as pandas or NumPy, SQL databases, or comparable data-processing tools.

• Familiarity with MATLAB or similar tools for signal processing, characterization analysis, curve fitting, and data visualization.

• Experience developing scalable data pipelines and analyzing large characterization datasets.

• Working knowledge of networking and remote-management tools such as SSH and SCP.

ACADEMIC CREDENTIALS:

• Bachelor’s or master’s degree in electrical engineering, Computer Engineering, or a related field is preferred.

LOCATION:

Austin, Texas