ZipRecruiter

Log In

1

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

Neuralink

Digital IC Design Engineer Intern

Fremont, CA · On-site

$35/hr

As a Digital IC Design Engineer Intern, your responsibilities will include: * Micro-architecture ... Analog mixed-signal co-simulation * Design for testability * Collaboration on silicon bring-up ...

Neuralink

Digital IC Design Engineer Intern

Fremont, CA · On-site

$35/hr

As a Digital IC Design Engineer Intern, your responsibilities will include: * Micro-architecture ... Analog mixed-signal co-simulation * Design for testability * Collaboration on silicon bring-up ...

Neuralink

Robot Optics Intern

South San Francisco, CA · On-site

$35/hr

As a Robot Optics Intern at Neuralink, you will build, characterize, and calibrate optical and ... Mechanical engineering and CAD skills * Experience with optical simulation and design software (e.g ...

Neuralink

Robot Optics Intern

South San Francisco, CA · On-site

$35/hr

As a Robot Optics Intern at Neuralink, you will build, characterize, and calibrate optical and ... Mechanical engineering and CAD skills * Experience with optical simulation and design software (e.g ...

next page

Showing results 1-20

People also search for

All JobsSimulation Engineer Intern JobsSimulation Engineer Intern Jobs in Berkeley, CA

Simulation Engineer Intern information

See Berkeley, CA salary details

$13

$23

$36

How much do simulation engineer intern jobs pay per hour?

As of May 28, 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 are popular job titles related to Simulation Engineer Intern jobs in Berkeley, CA? For Simulation Engineer Intern jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Simulation Engineer Intern jobs in Berkeley, CA look for? The top searched job categories for Simulation Engineer Intern jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Simulation Engineer Intern jobs? Cities near Berkeley, CA with the most Simulation Engineer Intern job openings:
Simulation Engineer Intern jobs near you

Simulation Platform Engineering Intern

Stand Insurance

San Francisco, CA • On-site

$30/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago

Job description

Why Join Stand: At Stand, you'll help build a new class of global property protection. We use advanced physics and AI to model catastrophic risk at the asset level, then automate underwriting and mitigation before loss occurs. Insurance is simply the current delivery mechanism. The real product is a scalable risk engine.
We stay when traditional insurers exit. We model what others approximate. And we build systems that change outcomes, not just prices.
Background: The property insurance industry is built to price loss after it happens. It relies on coarse proxies, backward-looking data, and manual processes, then accepts damage as unavoidable.
Stand takes a different approach. We simulate how real-world catastrophes affect individual properties, translate that into actionable decisions, and automate the business around it. The result is a platform that can underwrite what others can't and operate with far less friction.
Background: Most property insurers assess wildfire risk using broad proxies, backward-looking loss data, and simplified hazard scores. While sufficient for portfolio pricing, these tools break down at the property level-where homeowners need to understand what actually drives loss and what actions meaningfully reduce it.
Stand operates from first principles. We simulate fire behavior and structure exposure using deterministic, physics-based models, then validate those models against controlled fire experiments. The result is a shift from correlation-based pricing to a causal understanding of wildfire risk and mitigation effectiveness.
Experiments and simulation validation are therefore foundational to our work. Converting experimental results into clean, well-documented, simulation-ready datasets is critical to ensuring our models are accurate, trustworthy, and actionable for underwriting and mitigation decisions.
Location: Onsite in Jackson Square, San Francisco.
Compensation: $30/hr. Targeting 40/hrs a week. We do not cover relocation or lodging stipends.
Role Summary: As a Simulation Platform Engineering Intern, you'll support and extend the simulation and digital twin platform that underpins Stand's modeling workflows. You'll work closely with Simulation Engineers, Machine Learning Engineers, and domain experts to improve reliability, scalability, and data quality across our pipelines.
This role is ideal for someone who wants hands-on experience building real systems, enjoys learning across disciplines, and is excited by zero-to-one infrastructure in a fast-moving startup environment.
What You'll Gain:
By the end of this internship, you will have:
  • Hands-on experience with production-grade simulation systems used to model real catastrophic risk at the individual-property level - not academic demos or side projects
  • Practical exposure to how physics-based simulation, geospatial data, and machine learning interact inside a single operational platform
  • Experience working on zero-to-one infrastructure in a fast-moving startup, including the tradeoffs involved in building reliable systems under real constraints
  • A deeper understanding of digital twin pipelines, from raw geospatial and vendor data through simulation, post-processing, and downstream decision-making
  • Improved engineering judgment from debugging complex pipelines, improving observability, and learning how to make systems more robust at scale
  • Direct mentorship from experienced engineers across simulation, ML, and infrastructure, with regular feedback and technical context
  • A clear view into how deep technical work translates into real-world impact, influencing underwriting decisions and physical risk mitigation - not just models on paper

What You'll Do:
Depending on your area of expertise and the needs of the team, you may contribute to:
  • Supporting production simulation pipelines by helping debug issues, improve observability, and increase reliability
  • Assisting with CI/CD, testing, and infrastructure improvements for simulation, digital twin, and ML workflows
  • Building or extending annotation and quality-control tooling for digital twins, including ML-assisted workflows
  • Contributing to new digital twin features related to wind, flood, wildfire, or other catastrophic perils
  • Helping integrate new peril pipelines end to end, from geospatial and vendor data ingestion through simulation and post-processing
  • Supporting geospatial data pipelines that merge heterogeneous spatial datasets into reproducible workflows
  • Collaborating with ML engineers to support training and inference pipelines
  • Documenting pipelines, data assumptions, and operational learnings to improve team velocityYou'll be working on real production systems - not toy problems - with mentorship and guidance from experienced engineers.

Required Skills:
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, Physics, or a related technical field
  • Strong programming fundamentals and an interest in building reliable, data-driven systems
  • Comfort working with data pipelines, simulations, or infrastructure (academic or personal projects count)
  • Curiosity about simulation, digital twins, geospatial data, or machine learning - you don't need to be an expert yet
  • Ability to debug problems methodically and learn new tools quickly
  • Strong collaboration and communication skills
  • High ownership mindset and willingness to dive into unfamiliar territory

Nice to Have Skills:
  • Exposure to physics-based simulation, numerical methods, or modeling
  • Experience with geospatial data (e.g., raster/vector data, LiDAR, DEMs)
  • Familiarity with cloud infrastructure, CI/CD, or containerized workflows
  • Experience working on research, startup, or open-ended technical projects
  • Interest in climate risk, natural hazards, or resilience engineering

Benefits:
  • Above-market Health, Dental, and Vision coverage
  • Weekly lunch stipend
  • Flexible time off + holidays
  • 401(k) plan
  • Commuter benefits
  • Short-Term and Long-Term Disability
  • Monthly team gatherings
  • In-office perks

Work Authorization
Candidates must be authorized to work in the U.S. Stand does not sponsor new work visas. We can consider candidates on TN visas, O-1A visas, or H-1B transfers with three years or more remaining.
Equal Opportunity Employment
Stand is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We believe that diversity enriches the workplace, and we are committed to growing our team with the most talented and passionate people from every community.
We are committed to providing reasonable accommodations for qualified individuals. If you require assistance
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Apply