2027 Internship - Systems Engineering - Power & Control

Location: Austin, Texas, United States; hybrid workplace

Company

hirify.global develops semiconductor technologies and operates Cirrus Venture Labs, a technology accelerator focused on scalable innovations, power electronics, intelligent physical systems, and new silicon-centric business models.

What you will do

• Develop system-level models and simulations in MATLAB, Simulink, Simscape, and related tools for electrical, mechanical, and control systems.
• Evaluate linear and nonlinear control systems, feedback strategies, motor control techniques, and advanced or ML-augmented control algorithms.
• Analyze power-conversion topologies, power-distribution architectures, converter performance, and thermal considerations.
• Design and prototype experimental hardware, including schematics, PCBs, component selection, board bring-up, and debugging.
• Conduct laboratory testing with oscilloscopes, power analyzers, electronic loads, signal generators, and related instrumentation.
• Automate simulations and process experimental data with Python while documenting findings and presenting technical results to engineering and innovation teams.

Requirements

• Currently pursuing a Master's or Ph.D. in Electrical Engineering, Computer Engineering, Control Systems, Power Electronics, or a related discipline.
• Strong foundation in electrical circuits, power electronics, system dynamics, feedback control theory, and stability analysis.
• Experience with MATLAB, Simulink, or comparable tools through research, coursework, or engineering projects.
• 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, hardware prototyping, and electronic test equipment.
• Ability to apply first-principles analysis, collaborate in multidisciplinary teams, and communicate technical findings clearly.

Nice to have

• Experience with power electronics, motor drives, robotics, mechatronics, or cyber-physical systems.
• Knowledge of field-oriented control, sensorless control, model predictive control, or other advanced motor-control methods.
• Experience with LTspice, PLECS, PSIM, prototype PCB development, embedded systems, C/C++, or real-time control.
• Python experience with scientific computing, data analysis, machine learning, and libraries such as NumPy, SciPy, pandas, scikit-learn, PyTorch, or TensorFlow.
• Interest in AI-assisted engineering, agentic workflows, external research collaboration, and entrepreneurial technology exploration.

Culture & Benefits

• Work alongside experienced engineers, innovation managers, technical architects, external partners, universities, and research institutions.
• Contribute to early-stage technology initiatives and proof-of-concept demonstrations.
• Participate in customer-facing technical discussions and translate application requirements into experiments and prototypes.
• Gain exposure to the technical and commercial considerations behind new semiconductor technologies and businesses.