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Internship Process Simulation Jobs in California

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Internship Process Simulation information

What are the key skills and qualifications needed to thrive as an Intern in Process Simulation, and why are they important?

To thrive as an Intern in Process Simulation, you typically need a background in chemical, mechanical, or industrial engineering and familiarity with process modeling concepts. Proficiency in simulation software such as Aspen Plus, HYSYS, or MATLAB, along with basic programming skills, is highly valuable. Strong analytical thinking, attention to detail, and effective communication help interns collaborate with teams and interpret simulation results. These skills and qualifications are crucial for accurately modeling processes, identifying improvements, and supporting engineering projects within an industrial setting.

What types of projects do interns typically work on during a Process Simulation internship?

During a Process Simulation internship, interns often contribute to projects involving the development, testing, and optimization of simulation models for manufacturing or chemical processes. Typical responsibilities include collecting and analyzing process data, building digital process models using specialized software, and collaborating with engineers to validate simulation results. Interns may also assist in troubleshooting simulation discrepancies and preparing technical documentation. This hands-on experience helps interns understand both the technical and collaborative aspects of process engineering teams.

What does an Internship in Process Simulation involve?

An Internship in Process Simulation typically involves assisting engineers and specialists in modeling, analyzing, and optimizing industrial processes using specialized simulation software. Interns may work on creating digital models of chemical, mechanical, or manufacturing processes to predict their behavior under different conditions. This role provides hands-on experience with simulation tools, data analysis, and process improvement projects, often within industries such as chemical engineering, manufacturing, or energy. Interns gain valuable insight into how simulations help improve efficiency, safety, and product quality in real-world operations.

What is the difference between Internship Process Simulation vs Internship Program Coordinator?

AspectInternship Process SimulationInternship Program Coordinator
Primary FocusModeling and analyzing internship processesManaging and organizing internship programs
Required SkillsProcess analysis, simulation tools, data interpretationCommunication, organization, program management
Work EnvironmentTypically in HR, training, or process improvement teamsHR departments, educational institutions, corporate offices
Common UsageUsed for optimizing internship workflows and experiencesUsed for coordinating internship logistics and engagement

While Internship Process Simulation focuses on modeling and improving internship procedures through simulation tools, the Internship Program Coordinator handles the planning, organization, and management of internship programs. Both roles are essential in the internship lifecycle but serve different functions within HR and organizational development.

What are the most commonly searched types of Process Simulation jobs in California? The most popular types of Process Simulation jobs in California are:
What job categories do people searching Internship Process Simulation jobs in California look for? The top searched job categories for Internship Process Simulation jobs in California are:
What cities in California are hiring for Internship Process Simulation jobs? Cities in California with the most Internship Process Simulation job openings:

Robotics Engineer (Physical AI & Simulation)

Burnbot Inc

South San Francisco, CA • On-site

$100K - $125K/yr

Full-time

Posted 2 days ago


Job description

Robotics Engineer (Physical AI & Simulation)


About BurnBot

BurnBot provides systematic fuels treatment services to prevent destructive wildfires. We're firefighters, scientists, engineers, prescribed fire practitioners, ecologists, and community members who are answering the call to scale fuel treatment capacity. Our modern fuel treatment system recognizes and supports conservation efforts with a clean, smoke-free process. We need technology to amplify our workforces with targeted use of synthetic fire to treat fuel loads 10x faster than previously possible.


The Role

We are seeking a motivated Robotics Engineer to join our Physical AI team. You will be at the forefront of "Embodied AI," developing intelligent systems that perceive, reason, and act in the physical world. Your primary environment will be NVIDIA Isaac Sim, where you will build the digital twins and synthetic training pipelines necessary to train and validate our next generation of autonomous agents.

This role is an exempt role with a salary range of $100,000 - $125,000. However, we do consider many factors when creating job offers, including (but not limited to), the role, location, responsibilities, experience, training, education, and skillset.


Key Responsibilities:

  • Simulation & Digital Twins: Develop and maintain high-fidelity, physics-accurate simulation environments in NVIDIA Isaac Sim and Omniverse using OpenUSD

  • Computer Vision Integration: Implement and test CV algorithms (e.g., YOLO, ViT) for object detection, depth estimation, and spatial awareness within the simulation

  • Physical AI Development: Assist in training Reinforcement Learning (RL) agents and foundation models for robotics using Isaac Lab/Isaac Gym

  • Synthetic Data Generation (SDG): Build automated pipelines to generate diverse, annotated synthetic datasets to improve the robustness of our vision and perception models

  • Sim-to-Real Transfer: Work closely with the hardware team to validate simulated behaviors on physical robots, identifying and closing gaps in physics and perception fidelity

  • Testing & Benchmarking: Design and execute automated test suites within simulation to benchmark robot performance across edge cases and "long-tail" scenarios


Minimum Qualifications:

  • BS or MS in Robotics, Computer Science, Electrical Engineering, or a related technical field

  • Proficiency in Python and modern agentic programming techniques

  • Foundational knowledge of Computer Vision (OpenCV) and Deep Learning frameworks (PyTorch preferred)

  • Experience with Linux (Ubuntu) and ROS/ROS2 middleware

  • Demonstrated experience with NVIDIA Isaac Sim, Gazebo, or similar high-fidelity physics simulators through internships or academic projects

  • Preferred Skills (Bonus):

  • Experience with OpenUSD (Universal Scene Description) for 3D scene composition

  • Familiarity with NVIDIA Warp or CUDA for GPU-accelerated computing

  • Previous experience with synthetic data workflows and domain randomization

  • Exposure to Reinforcement Learning concepts and Isaac Lab workflows


Tools & Tech Stack:

  • Simulation: NVIDIA Isaac Sim, Omniverse, Isaac Lab

  • AI/ML: PyTorch, TensorRT, Synthetic Data Generation

  • Robotics: ROS2, URDF/MJCF, Pinocchio (Kinematics)

  • Infrastructure: Docker, Git, Linux



Still interested? Please apply through this posting or by visiting our Careers page at BurnBot.com.


Burnbot is an Equal Opportunity Employer and does not discriminate based upon race, religion, color, national origin, sex (including but not limited to, pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with one or more disabilities, or other applicable legally protected characteristics.


If you need assistance or accommodation due to a disability, you may contact us at (415) 795-9124 x 1010 or careers@burnbot.com.