ZipRecruiter

Log In

1

Modeling And Simulation Engineer Jobs in Rocklin, CA

Nextpower

Autonomy Engineer

Folsom, CA · On-site

Building and using simulation, log replay, and data pipelines to accelerate iteration ... Model training, evaluation, deployment, and inference optimization on constrained embedded systems ...

Nextracker

Autonomy Engineer

Folsom, CA

Building and using simulation, log replay, and data pipelines to accelerate iteration ... Model training, evaluation, deployment, and inference optimization on constrained embedded systems ...

Intel

Principal Engineer, AMS IP Architecture

Folsom, CA · On-site

$220K - $311K/yr

Validated simulation models against lab silicon measurements, closing gaps through iterative ... D. in Electrical Engineering, Computer Engineering, or a related field with focus on high-speed ...

Micron

Principal Engineer, Firmware Security

Folsom, CA

$161K - $318K/yr

This role spans the full Security Development Lifecycle, from threat modeling and architecture ... You will work across SoC, FPGA, and simulation platforms and collaborate cross-functionally to ...

Accenture

AI & HPC Infrastructure Engineer

Sacramento, CA

$114K - $150K/yr

... models, simulations, and emerging agentic AI solutions at scale. Our solutions enable some of our most strategic and mission-critical clients to unlock new levels of performance, efficiency ...

New

previous pagenext page

Showing results 21-40

All JobsModeling And Simulation Engineer JobsModeling And Simulation Engineer Jobs in Rocklin, CA

Modeling And Simulation Engineer information

See Rocklin, CA salary details

$40.6K

$128.4K

$198.2K

How much do modeling and simulation engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for modeling and simulation engineer in Rocklin, CA is $128,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $152,400.00 per year, depending on experience, location, and employer.

What is a modeling and simulation engineer?

Modeling and Simulation Engineers are professionals who use mathematical models and computer simulations to analyze complex systems and predict their behavior. They work in various industries, including aerospace, defense, healthcare, and manufacturing, to improve product design, optimize processes, and support decision-making. Their work often involves creating virtual prototypes, running simulations to test different scenarios, and interpreting results to provide insights for engineering projects. These engineers typically have strong backgrounds in mathematics, physics, and computer science.

What are the key skills and qualifications needed to thrive as a modeling and simulation engineer?

To thrive as a Modeling and Simulation Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency with simulation software (such as MATLAB, Simulink, or ANSYS), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex systems into accurate models and collaborating with multidisciplinary teams. These skills are crucial for ensuring the accuracy, reliability, and usability of simulations that inform critical engineering decisions.

What are some common challenges a modeling and simulation engineer faces when integrating new models into existing systems?

A common challenge for Modeling and Simulation Engineers is ensuring that new models are compatible with existing simulation frameworks and data sources. This often involves resolving discrepancies in data formats, model fidelity, and simulation timing, as well as validating that the integrated system produces accurate and reliable results. Collaboration with software developers, data analysts, and subject matter experts is essential to troubleshoot integration issues and maintain system performance. Effective communication and thorough documentation are key to overcoming these integration hurdles.

What is the difference between Modeling And Simulation Engineer vs Systems Engineer?

AspectModeling And Simulation EngineerSystems Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; certifications like INCOSEBachelor's or Master's in Engineering, Systems Engineering, or related fields; certifications like INCOSE
Work EnvironmentDesigning and developing simulation models, testing scenarios in labs or software environmentsIntegrating system components, coordinating across engineering teams, often in project offices
Industry UsageDefense, aerospace, automotive, and manufacturing sectorsDefense, aerospace, IT, and complex system development industries

While both roles require engineering backgrounds and similar certifications, Modeling And Simulation Engineers focus on creating and testing simulation models, whereas Systems Engineers oversee the integration and functionality of entire systems. Both collaborate closely but serve different specialized functions within engineering projects.

Are modeling and simulation engineers in demand?

Modeling and simulation engineers are in high demand across industries such as aerospace, defense, automotive, and healthcare due to their expertise in developing complex models and simulations. The role often requires proficiency in programming, simulation software, and systems analysis, with job growth driven by technological advancements and increased reliance on virtual testing and training tools.

How to become a modeling and simulation engineer?

To become a modeling and simulation engineer, typically a bachelor's degree in engineering, computer science, or a related field is required, often complemented by experience with simulation software, programming languages, and systems modeling. Advanced roles may require a master's degree or higher, along with skills in data analysis, systems engineering, and familiarity with tools like MATLAB, Simulink, or C++. Certifications in systems modeling or simulation can enhance job prospects.

What cities near Rocklin, CA are hiring for Modeling And Simulation Engineer jobs?

Cities near Rocklin, CA with the most Modeling And Simulation Engineer job openings:

Modeling And Simulation Engineer jobs near you

Autonomy Engineer

Nextpower

Folsom, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

Job Description:
About Nextpower
Nextpower is a global leader in intelligent solar tracker and software solutions, optimizing solar power plant performance worldwide.
Within Nextpower, the Robotics and Autonomy team is building and deploying robotic systems that operate at scale in real solar environments. These systems combine perception, planning, control, embedded compute, and cloud infrastructure to increase inspection capacity, improve safety, and enable scalable operations.
We are seeking a Autonomy Engineer to help accelerate the next phase of that growth. This role focuses on advancing real-world autonomy performance across the navigation stack and enabling robots to operate more independently, more efficiently, and at greater scale.
This is a systems-level role spanning perception, planning, and control. You will work directly on robots, in the field and in test environments, to ensure the system performs reliably under real-world conditions.
Role Overview
We are scaling both the capability and deployment of our robotic systems. As autonomy improves, the system must support more robots per operator, operate with higher levels of autonomy across diverse environments, and maintain consistent performance as complexity increases.
This role is focused on building and improving a tightly integrated autonomy stack that works end-to-end on the robot. You will operate within constrained embedded systems where compute, bandwidth, and power are limited, requiring thoughtful tradeoffs in model selection, algorithm design, and system architecture. You will design and implement perception, planning, and control systems, validate them on real hardware, and continuously improve performance through testing, simulation, and data-driven iteration.
You are expected to own system behavior, not just individual algorithms. This means understanding how the full stack behaves in real environments, identifying gaps, and driving improvements that make the system more capable, reliable, and scalable.
Core areas of responsibility include:
  • Developing and improving autonomy capabilities across perception, planning, and control
  • Getting systems working on real robots, not just in simulation
  • Debugging and resolving issues observed in real-world operation
  • Building and using simulation, log replay, and data pipelines to accelerate iteration
  • Collaborating across hardware, integration, and test teams to ensure system-level performance

Minimum Qualifications
  • Bachelor's degree in Robotics, Computer Science, Electrical Engineering, or related field
  • 5+ years of experience in robotics, autonomy, or related fields, with demonstrated experience developing software for robotic or autonomous systems in real-world environments (not just simulation)
  • Strong proficiency in at least one of the following: C, C++, Python, or Rust
  • Strong experience with Linux command-line environments, Git, and Docker
  • Strong experience with ROS2-based systems
  • Strong problem-solving skills and ability to debug complex system behavior
  • Strong hands-on experience working with physical robotic systems
  • Coachable and able to operate effectively within a fast-moving, collaborative team

Preferred Qualifications
  • Developing and deploying perception systems such as:
    • Terrain classification
    • Object detection, recognition, and tracking
    • Semantic understanding of environments
    • Model training, evaluation, deployment, and inference optimization on constrained embedded systems (e.g., CUDA, TensorRT, ONNX Runtime)
  • Designing and implementing robot control and planning systems, including:
    • Low-level path control (e.g., Model Predictive Control (MPC))
    • Path planning algorithms such as A*, Dijkstra's algorithm, or similar
    • Multi-robot planning or coordination
  • Building sensor fusion, filtering, localization, and/or state estimation algorithms, such as:
    • Kalman Filters, Extended Kalman Filters (EKF)
    • Graph-based optimization methods
    • Characterizing sensor and motion noise
  • Working with simulation tools such as Gazebo or similar
  • Using log replay, data pipelines, and performance visualization to debug and improve systems
  • Applying CI/CD, release processes, and test-driven development in robotics systems
  • Debugging networking, remote systems, or communication stacks in deployed environments
  • Operating and deploying systems in outdoor, field robotics environments, including working under compute, bandwidth, and latency constraints

Join Us
At Nextpower, we are building robotic systems that operate at scale in real environments.
As a Senior Autonomy Engineer, you will play a critical role in advancing autonomy capabilities and enabling the next stage of system growth. This is an opportunity to work on real robots, solve real problems, and help scale a system that is already delivering value in the field.
Nextracker offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K) participation including company matching, company paid holidays with unlimited paid time off, generous discretionary company bonuses, life and disability protection and more. Employees in certain positions may be eligible for stock compensation. All plans are in accordance with relevant plan documents. For more information on Nextracker's benefits please view our company website at www.nextracker.com
Pay is based on market location and may vary based on factors including experience, skills, education and other job-related reasons. The annual salary range for this position is 160K to 190K.
At Nextpower, we are driving the global energy transition with an integrated clean energy technology platform that combines intelligent structural, electrical, and digital solutions for utility-scale power plants. Our comprehensive portfolio enables faster project delivery, higher performance, and greater reliability, helping our customers capture the full value of solar power. Our talented worldwide teams are redefining how solar power plants are designed, built, and operated every day with smart technology, data-driven insights, and advanced automation. Together, we're building the foundation for the world's next generation of clean energy infrastructure.
Nextpower is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We are Nextpower

Apply