Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Engineering Graduate Intern (Summer 2027)
- Posted
- 2D AGO
About the role
Summer Internship Job Description
Position Title: Summer Intern – Modeling & Simulation Engineer
Position Short Description
We are seeking a highly motivated Ph.D. student to support advanced research and technology development activities within Vertiv's IT Systems Business Unit. The internship focuses on modeling, simulation, and analysis of advanced power conversion, energy management, and digital infrastructure technologies. The intern will support development of system-level and component-level models, performance evaluation, control validation, and design studies for next-generation AI data centers. Activities may include dynamic simulation, system optimization, model validation, and data analysis to support research, innovation, and product development initiatives.
Position Summary
We are seeking a highly motivated summer intern to support advanced research and development activities involving modeling and simulation of power electronic systems, energy infrastructure, and emerging technologies.
The intern will work closely with research engineers to develop simulation models, evaluate system performance, analyze operating behavior, and support technology feasibility assessments. Areas of application may include power conversion systems, energy storage, control systems, thermal management, data center infrastructure, IT Racks technologies, and other advanced engineering platforms.
The internship will emphasize model development, simulation-based design, system analysis, and data-driven engineering methods that accelerate innovation and technology maturation.
Responsibilities
- Develop and maintain simulation models for advanced electrical, mechanical, thermal, and energy systems.
- Perform system-level and component-level modeling using industry-standard simulation tools.
- Conduct steady-state, transient, and dynamic performance analyses.
- Support validation of models through comparison with analytical calculations, experimental results, or published data.
- Evaluate system efficiency, reliability, power quality, thermal behavior, and operational performance.
- Assist in development and assessment of control strategies and system optimization approaches.
- Perform parametric studies and design trade-off evaluations.
- Generate simulation datasets and technical reports summarizing findings.
- Support technology feasibility studies and concept evaluations.
- Collaborate with multidisciplinary engineering teams on advanced R&D projects.
- Document methodologies, assumptions, and results to support technical publications, invention disclosures, and product development activities.
Required Qualifications
- Pursuing a PhD in:
- Electrical Engineering
- Mechanical Engineering
- Computer Engineering
- Systems Engineering
- Control Engineering
- Related engineering discipline
- Familiarity with one or more of the following tools:
- MATLAB/Simulink
- Simscape
- PLECS
- PSCAD
- LTspice
- Python-based simulation environments
- Programming experience in:
- MATLAB/SIMULINK
- Python
- C/C++ (preferred)
- Strong analytical, problem-solving, and technical communication skills.
Preferred Qualifications
- Experience with:
- Dynamic system modeling
- Control systems
- Power electronics
- Optimization techniques
- Data analysis and visualization
- Machine learning
- Exposure to:
- Model-in-the-Loop (MIL)
- Software-in-the-Loop (SIL)
- Hardware-in-the-Loop (HIL)
- Interest in advanced research, technology development, and innovation activities.
- Prior laboratory, research, or industry project experience is a plus.
Expected Outcomes
- Development of high-fidelity and reduced-order simulation models.
- Improved understanding of system performance and design trade-offs.
- Identification of optimization opportunities and potential technology improvements.
- Generation of simulation datasets and technical documentation.
- Support for innovation, research, and future product development activities.
- Contribution to technical publications, invention disclosures, and advanced engineering studies.
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