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Simulation Engineer Intern Jobs in California (NOW HIRING)

Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is ... The roles Our chip simulation and tooling role will co-design, develop, and test simulations of our ...

Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is ... The roles Our chip simulation and tooling role will co-design, develop, and test simulations of our ...

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 ...

Design system-level evaluation metrics, testing frameworks, and simulation environments across business components. Requirements * Strong programming skills in C/C++, Python, and software design

Design system-level evaluation metrics, testing frameworks, and simulation environments across business components. Requirements * Strong programming skills in C/C++, Python, and software design

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 ...

Showing results 41-60

Simulation Engineer Intern information

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 the most commonly searched types of Simulation Engineer jobs in California? The most popular types of Simulation Engineer jobs in California are:
What cities in California are hiring for Simulation Engineer Intern jobs? Cities in California with the most Simulation Engineer Intern job openings:

ML Engineer Intern: Scenario Simulation for Autonomy

Medium

Santa Clara, CA โ€ข On-site

$19 - $65/hr

Other

Retirement

Posted 5 days ago


Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the Worldโ€™s Most Innovative Companies. Partners including TRATON GROUPโ€™s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If youโ€™re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

Responsibilities
  • Bridge the Sim-to-Real Gap: Develop and implement a translation layer that converts idealized simulator Ground Truth (GT) into realistic, "noisy" Birdโ€™s-Eye View (BEV) embeddings.
  • Optimize Simulation Throughput: Research and implement a "shortcut" pipeline that bypasses slow image/LiDAR rendering to generate BEV features directly from state data.
  • Enable Closed-Loop Training: Integrate the translated BEV embeddings into a training pipeline to make synthetic data directly usable for planning models.
  • Support Reinforcement Learning: Create the infrastructure necessary for planning models to undergo self-play RL fine-tuning within the bridged BEV feature space.
Required Skills
  • Strong foundation in deep learning, computer vision, and machine learning.
  • Proficiency in Python and deep learning frameworks (PyTorch)
  • Prior experience with BEV / E2E Autonomous Driving Architectures (understanding of BEV generation, sensor fusion, spatial transformation).
  • Prior experience in addressing the Sim-to-Real Gap in autonomous systems such as robotics and autonomous driving.
Preferred Skills
  • Experience with C++
  • Experience with End-to-End (E2E) driving models.
  • Experience with working with simulators (CARLA, IsaacSim, Gazebo)
  • Experience with curating datasets and synthetic data generation (SDG).
  • Experience with ML Infras (Kubeflow, MLFlow, Weights & Biases, etc).
  • Basic understanding of simulation / scenario-based testing for autonomous driving systems

$19 - $65 an hour

Your opportunities joining PlusAI

Work, learn and grow in a highly future-oriented, innovative and dynamic field.

Wide range of opportunities for personal and professional development.

Catered free lunch, unlimited snacks and beverages.

Highly competitive salary and benefits package, including 401(k) plan.

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