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Intern Work From Home Process Simulation Engineer Jobs in California

Humble Robotics

Simulation Engineer

San Francisco, CA · On-site +1

This work will work heavily with modern neural rendering approaches: Gaussian splatting, world ... Additional Information As part of the interview process, we may use Artificial Intelligence (AI ...

Mote, Inc.

Process Engineer

Los Angeles, CA · On-site +1

$95K - $120K/yr

Up to 25% *If LA, partial work from home is negotiable. If remote, regular travel is expected ... Develop and perform process simulations, configuration studies, and sensitivity analyses.

The Jernigan Agency

WORK FROM HOME

Sacramento, CA · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... See the application through the underwriting process and get our clients covered. Requirements for ...

The Jernigan Agency

WORK FROM HOME

San Francisco, CA · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... See the application through the underwriting process and get our clients covered. Requirements for ...

The Jernigan Agency

WORK FROM HOME

Oakland, CA · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... See the application through the underwriting process and get our clients covered. Requirements for ...

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Intern Work From Home Process Simulation Engineer information

What is the difference between Intern Work From Home Process Simulation Engineer vs Intern Mechanical Engineer?

AspectIntern Work From Home Process Simulation EngineerIntern Mechanical Engineer
Required CredentialsEnrolled in engineering or related degree, basic knowledge of simulation toolsEnrolled in mechanical engineering or related degree, basic CAD skills
Work EnvironmentRemote, computer-based, focused on simulation softwareOn-site or hybrid, hands-on with physical components and design
Industry UsageManufacturing, automotive, aerospace, process industriesManufacturing, automotive, aerospace, product design

The Intern Work From Home Process Simulation Engineer focuses on virtual modeling and simulation of manufacturing or process workflows remotely, while the Intern Mechanical Engineer typically engages in physical design, testing, and hands-on tasks on-site. Both roles require foundational engineering knowledge and are common in manufacturing and aerospace industries, but differ mainly in work environment and specific skill sets.

What are the key skills and qualifications needed to thrive as an intern work from home process simulation engineer, and why are they important?

To succeed as an Intern Work From Home Process Simulation Engineer, you typically need a background in engineering or computer science, strong analytical abilities, and a basic understanding of process modeling concepts. Familiarity with simulation software such as Arena, Simul8, or MATLAB, as well as proficiency in data analysis tools, is often required. Excellent communication, problem-solving skills, and self-motivation are essential soft skills for collaborating remotely and managing tasks independently. These competencies enable interns to effectively contribute to virtual teams, analyze complex processes, and deliver actionable insights from simulated models.

What is an intern work from home process simulation engineer?

An Intern Work From Home Process Simulation Engineer is a student or recent graduate who assists with designing, modeling, and analyzing processes in virtual environments, all while working remotely. They use simulation software to test and optimize workflows, manufacturing processes, or systems for efficiency and effectiveness. Their responsibilities often include data collection, building digital models, analyzing simulation results, and collaborating with engineering teams virtually. This role provides hands-on experience in process engineering and simulation while allowing flexibility through remote work.

What types of projects can an intern work from home process simulation engineer expect to work on, and how do these contribute to team goals?

As an Intern Work From Home Process Simulation Engineer, you'll typically be assigned to support ongoing simulation projects that model or optimize manufacturing or business processes. Your daily responsibilities may include building and validating simulation models, analyzing process data, and assisting in preparing reports or presentations for team meetings. You'll collaborate closely with senior engineers and project managers through virtual platforms, contributing to real-world problem-solving and process improvements. These projects not only help you develop technical and teamwork skills but also provide valuable experience that can lead to future full-time opportunities.
What are popular job titles related to Intern Work From Home Process Simulation Engineer jobs in California? For Intern Work From Home Process Simulation Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Intern Work From Home Process Simulation Engineer jobs in California look for? The top searched job categories for Intern Work From Home Process Simulation Engineer jobs in California are:
What cities in California are hiring for Intern Work From Home Process Simulation Engineer jobs? Cities in California with the most Intern Work From Home Process Simulation Engineer job openings:
Intern Work From Home Process Simulation Engineer jobs near you

Simulation Engineer

Humble Robotics

San Francisco, CA • On-site, Remote

Full-time

Re-posted 16 days ago

Job description

About Humble Robotics
Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We're building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today's global logistics network.
We're a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don't believe culture can be engineered - but when it falls into place, it's a once-in-a-lifetime adventure.
Progress has never felt so present.
Position Overview
Open to a range of experience levels
We're looking for a software engineer to join our simulation team. You'll build the systems and tools that support closed-loop model testing, synthetic data generation, and sensor simulation. This work will work heavily with modern neural rendering approaches: Gaussian splatting, world models, and learned sensor models.
We're a small team early in the build. You'll have real influence over both what we build and how we build it.
Key Responsibilities
  • Build and maintain Python pipelines and tooling for closed-loop testing and synthetic data generation
  • Integrate modern neural rendering techniques into our sensor simulation stack (e.g., Gaussian splatting, NeRFs, world models)
  • Expand and maintain the scenario library and benchmark suite used to evaluate perception, planning, and control
  • Develop synthetic data generation workflows, including scenario and agent behavior generation, to support model training
  • Work closely with ML and autonomy engineers to measure and reduce sim-to-real gaps, ensuring simulation reflects real-world behavior

Minimum Qualifications
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field-or equivalent industry experience
  • Strong proficiency in Python (primary language of the simulation stack)
  • Experience working with simulation systems, ideally in robotics, autonomous vehicles, or other high-fidelity domains
  • Eligible to work in the United States

Preferred Qualifications
  • Experience with neural rendering or generative simulation (e.g., Gaussian splatting, NeRFs, world models, diffusion-based methods)
  • Depth in one or more areas of simulation: closed-loop testing, scenario design, log replay, or sensor simulation
  • Experience building benchmarks or evaluation frameworks used across a team
  • Experience developing synthetic data pipelines that improved downstream model performance
  • Familiarity with real-time robotic systems and their constraints on simulation fidelity
  • Comfortable working on a small team with high ownership and fast iteration cycles

Compensation
This role is eligible for base salary \+ benefits \+ equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location.
Additional Information
As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact **[email protected]** to exercise this right or if you have further questions on the use of AI tools in our hiring process.
Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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