2027 Internship - Systems Engineering - Power & Control

Cirrus Logic•Austin, TX

8d•Hybrid

About The Position

As a Graduate Systems Engineering Intern – Power & Control at Cirrus Venture Labs (CVL), Cirrus Logic’s technology accelerator, you will work with experienced engineers, Innovation Managers, and technical architects to explore and prototype technologies across power electronics, motor control, and intelligent physical systems. You will apply advanced academic knowledge to engineering challenges through system modeling, simulation, hardware development, and experimental validation, with opportunities to use machine learning and modern AI tools to accelerate engineering discovery and prototyping. The role contributes to early-stage technology initiatives and involves collaboration with external ecosystem partners. It also offers exposure to the technical and commercial considerations involved in developing new semiconductor technologies and businesses. Interns should expect to work in the office up to five days per week based on business needs and team preference, and must live within commuting distance of the work location or be willing to relocate before starting.

Requirements

Currently pursuing a Master's or Ph.D. degree in Electrical Engineering, Computer Engineering, Control Systems, Power Electronics, or a related technical discipline.
Strong academic foundation in electrical circuits, power electronics, system dynamics, and feedback control theory.
Experience using MATLAB, Simulink, or comparable tools for system modeling, simulation, and analysis through academic research, coursework, or engineering projects.
Understanding of linear and nonlinear control systems, stability analysis, and fundamental control techniques.
Familiarity with DC/DC conversion, switching power supplies, motor drives, and isolated or non-isolated power architectures.
Exposure to circuit design, schematic capture, PCB development, or hardware prototyping through academic research, coursework, or personal projects.
Experience with electronic test equipment and a strong interest in hands-on experimentation, measurement, and hardware debugging.
Strong problem-solving skills and ability to apply first-principles engineering analysis to unfamiliar technical challenges.
Ability to work effectively in multidisciplinary teams, communicate technical findings clearly, and operate in an exploratory research and development environment.

Nice To Haves

Graduate research or project experience in power electronics, motor drives, robotics, mechatronics, or cyber-physical systems.
Familiarity with field-oriented control (FOC), sensorless control, model predictive control, or other advanced motor and actuator control techniques.
Experience with LTspice, PLECS, PSIM, or similar circuit and power electronics simulation platforms.
Experience designing, assembling, bringing up, and debugging prototype PCBs or embedded hardware systems.
Proficiency in Python for scientific computing, data analysis, and machine learning, including familiarity with NumPy, SciPy, pandas, scikit-learn, PyTorch, or TensorFlow.
Familiarity with machine-learning workflows, including data collection and preprocessing, feature engineering, model development, training, validation, benchmarking, and performance evaluation.
Exposure to applying machine learning to physical systems, including system identification, predictive modeling, anomaly detection, adaptive control, or optimization of power and electromechanical systems.
Experience using Python to automate simulations, process experimental data, and integrate analytical or physics-based models with data-driven approaches.
Interest or experience using modern AI development tools, coding assistants, and emerging agentic workflows to accelerate research, simulation, software development, and engineering experimentation.
Experience with C/C++, embedded firmware development, microcontrollers, or real-time control implementation.
Experience participating in collaborative research projects involving industry partners, academic institutions, or multidisciplinary engineering teams.
Curiosity, initiative, adaptability, and enthusiasm for exploring emerging technologies beyond a single engineering discipline; comfort navigating ambiguity, challenging assumptions, and rapidly experimenting with new ideas.

Responsibilities

Develop system-level models using MATLAB, Simulink, Simscape, and related tools to analyze electrical, mechanical, and control system behavior, including dynamics, stability, transient response, efficiency, and performance tradeoffs.
Support the modeling and evaluation of linear and nonlinear control systems, including feedback control, state-space methods, motor control, and advanced control algorithms; explore adaptive, predictive, and ML-augmented control.
Analyze isolated and non-isolated power conversion topologies, power distribution architectures, and electrical and thermal considerations; evaluate converter performance, control strategies, and system-level integration.
Contribute to schematic capture, PCB design, component selection, and experimental hardware platforms; participate in board bring-up, debugging, and rapid prototyping iterations.
Perform hands-on testing and characterization with laboratory instrumentation, develop experimental setups and measurement methodologies, and evaluate system performance.
Compare analytical and simulation results with experimental measurements, investigate discrepancies, and refine system models and technical assumptions.
Develop Python tools and scripts to automate simulations, process experimental data, visualize results, and support system characterization; explore machine-learning applications in engineering analysis and experimentation.
Research emerging technologies and engineering approaches in power electronics, motor control, advanced sensing, and intelligent physical systems, and help evaluate new concepts.
Collaborate with Innovation Managers, systems architects, and engineering teams to turn early-stage technical hypotheses into experiments, models, and proof-of-concept demonstrations.
Participate in technical discussions and collaborative development with startups, technology vendors, universities, and research institutions; support evaluation and integration of external technologies.
Join customer-facing technical discussions to understand application requirements, system constraints, and integration challenges, and help translate feedback into experiments and prototype requirements.
Document experimental findings, present technical results, and contribute to engineering reviews informing architectural decisions and innovation initiatives.