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Simulation Engineer Intern Jobs in Berkeley, CA (NOW HIRING)

... class engineers to target aggressive milestones. * Design, implement, test, and support ADS module functionality through simulations and real-world test runs in context of the airside airport ...

... simulation, design, and play. Our first focus is gaming: 3D environment generation and ... Significant experience in software engineering and applied AI * 1+ year full time experience at a ...

Engineering Intern

South San Francisco, CA · On-site

$20.25 - $26.25/hr

Support CAD work, design iterations, simulation, and analysis, and help evaluate prototypes. * Contribute to engineering documentation, design reviews, and research tasks as assigned. * Collaborate ...

Engineering Intern

South San Francisco, CA · On-site

$20.25 - $26.25/hr

Support CAD work, design iterations, simulation, and analysis, and help evaluate prototypes. * Contribute to engineering documentation, design reviews, and research tasks as assigned. * Collaborate ...

Engineering Intern

South San Francisco, CA · On-site

$20.25 - $26.25/hr

Support CAD work, design iterations, simulation, and analysis, and help evaluate prototypes. * Contribute to engineering documentation, design reviews, and research tasks as assigned. * Collaborate ...

Simulate and benchmark different protocols. * Document and communicate results. Experience ... Experience programming in Python, C++ or similar languages. * Competent use of collaborative ...

Showing results 41-60

Simulation Engineer Intern information

See Berkeley, CA salary details

$13

$23

$36

How much do simulation engineer intern jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for simulation engineer intern in Berkeley, CA is $23.65, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a simulation engineer intern, and why are they important?

To thrive as a Simulation Engineer Intern, you need a solid background in engineering principles, mathematics, and physics, often supported by current enrollment in a relevant degree program. Familiarity with simulation software such as MATLAB, Simulink, or ANSYS, along with basic programming skills in languages like Python or C++, is typically required. Strong problem-solving abilities, attention to detail, and collaboration skills are essential soft skills for success in this role. These competencies are crucial for accurately modeling complex systems, analyzing results, and contributing effectively to engineering teams.

What types of projects and tasks can a simulation engineer intern expect to work on during their internship?

As a Simulation Engineer Intern, you can expect to work on a variety of projects that involve creating, running, and analyzing simulations to support product development or research. Typical tasks may include building simulation models using specialized software, validating simulation results against real-world data, and preparing reports for engineering teams. Interns often collaborate closely with senior engineers and cross-functional teams, such as design or testing, to ensure simulations align with project goals. This hands-on experience not only sharpens your technical skills but also provides valuable insights into the collaborative nature of engineering projects and the role of simulation in the product lifecycle.

What does a simulation engineer intern do?

A Simulation Engineer Intern assists in creating and running computer-based models to predict how systems or products will perform in real-world scenarios. They typically work under the guidance of senior engineers, helping to analyze data, optimize designs, and solve engineering problems through simulations. This role often involves using specialized software such as MATLAB, ANSYS, or Simulink, and requires strong analytical and problem-solving skills. Simulation Engineer Interns gain valuable experience in applying theoretical knowledge to practical engineering challenges.

What is the difference between Simulation Engineer Intern vs Simulation Engineer?

AspectSimulation Engineer InternSimulation Engineer
Required CredentialsTypically pursuing a bachelor's or master's in engineering, computer science, or related fieldsBachelor's or higher degree in engineering, computer science, or related disciplines; often with some professional experience
Work EnvironmentInternship setting, often part-time or summer roles within engineering teamsFull-time professional role within engineering or R&D teams
Employer & Industry UsageUsed by companies in automotive, aerospace, electronics, and manufacturing sectors for training and developmentUsed in similar industries for product development, testing, and simulation tasks

The main difference between a Simulation Engineer Intern and a Simulation Engineer is experience level and responsibility. Interns are typically students gaining practical experience, while Simulation Engineers are full-time professionals responsible for designing and analyzing simulations to support product development.

What cities near Berkeley, CA are hiring for Simulation Engineer Intern jobs? Cities near Berkeley, CA with the most Simulation Engineer Intern job openings:

Continuous Improvement / Industrial Engineering Internship

Mezzetta

American Canyon, CA

Internship

Re-posted 10 days ago


Job description

Program Objective

The Continuous Improvement / Industrial Engineering Intern will develop hands-on experience in manufacturing performance analysis and process optimization by learning and applying Industrial Engineering methods focused on time study, cycle time, takt time, and line balancing.  Throughout the duration of this 16 week program, the Intern will support Mezzetta's effort to improve packaging line performance, reduce bottlenecks, and identify opportunities for efficiency and labor optimization.

By the end of the internship, the Intern will:

  • Understand and apply time study and work measurement techniques.
  • Calculate and interpret cycle time, takt time, and OEE-related metrics.
  • Identify bottlenecks and develop data-based process improvement proposals.
  • Demonstrate practical Lean problem-solving in a real production environment.
  • Present technical findings and communicate improvement ideas effectively.

16 Week Program Outline

Week 1 Focus Area - Orientation & Training

  • Onboarding: Safety, GMP, food manufacturing overview
  • Overview of Mezzetta packaging lines
  • Introduction to Lean concepts and time study methods

Week 2 Focus Area - Process Familiarization

  • Observe selected packaging lines in operation
  • Map process flow (from depalletizing to case pack)
  • Identify key workstations and operator roles

Week 3 - Focus Area - Time Study Training & Data Collection Plan

  • Learn time study methods (manual stopwatch or digital)
  • Define cycle elements and observation approach
  • Create a data collection sheet and sampling plan

Weeks 4 & 5 Focus Area - Execute Time Studies

  • Collect detailed cycle time data for each station
  • Record operator performance, idle time, micro-stops
  • Validate repeatability and accuracy of measurements

Week 6 Focus Area - Data Analysis:  Cycle & Takt Time

  • Calculate average cycle time per station
  • Compute line takt time vs customer demand
  • Identify imbalances and bottlenecks

Week 7 Focus Area - Line Balancing & Optimization Opportunities

  • Use data to evaluate workload distribution
  • Simulate potential line balance improvements
  • Identify waste (waiting, motion, overprocessing)

Weeks 8 & 9 Focus Area - Test Improvement Hypotheses

  • Work with operators and supervisors to trial small changes (layout, sequence, method, job rotation)
  • Measure new cycle times and validate improvements

Week 10 Focus Area - Optimization Documentation

  • Standardize improved methods
  • Develop or update standard work charts and SOPs

Weeks 11 - 16 Focus Area - Sustainability & Handoff

  • Train operators or leads on improved process
  • Create visual management aids (takt board, KPI chart)

Week 16 Focus Area - Final Presentation

  • Present "Process Optimization Findings" to CI and Operations leadership:
    - What was studied
    - Data-driven findings
    - Implemented improvements and quantified benefits
    - Future recommendations

Requirements

  • Must be currently enrolled as a junior or senior in college and studying Electrical, Mechanical, Process Engineering or similarly manufacturing related discipline
  • Must be able to be on site in American Canyon (flexible on hours/schedule)

Familiarity with the following is a plus:

  • Stopwatch or digital time study tools (Zebra, MODAPTS, etc.)
  • Excel for data analysis and charts
  • Line balancing diagrams
  • Standard Work Sheet and Takt Board templates