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Automation Simulation Engineer Jobs in Nevada (NOW HIRING)

Senior Embedded Software Engineer

Las Vegas, NV · On-site +1

$118K - $155K/yr

Experience writing software in Python and experience doing automation with shell scripting ... Experience with Simulation and Code Generation, and knowing when their use is appropriate.

Transmission Line Engineer

Reno, NV · On-site

$90K - $130K/yr

Utilize advanced software tools for modeling and simulation of transmission line performance ... As an ENR Top 100 company, we provide comprehensive engineering, consulting, and automation ...

Senior Firmware Engineer

Reno, NV · On-site

$119K - $157K/yr

Utilizes simulation tools as appropriate * Creates and/or modifies design documentation * Help ... Experience with Python in a CI/CD or automation context * Experienced using AI in a production ...

Senior Firmware Engineer

Reno, NV

$119K - $157K/yr

Utilizes simulation tools as appropriate * Creates and/or modifies design documentation * Help ... Experience with Python in a CI/CD or automation context * Experienced using AI in a production ...

... simulation, SIL, HIL, and on-vehicle environments, specifically targeting scenarios critical for ... Develop, maintain, and enhance robust, scalable test infrastructure and automation frameworks using ...

... simulation, SIL, HIL, and on-vehicle environments, specifically targeting scenarios critical for ... Develop, maintain, and enhance robust, scalable test infrastructure and automation frameworks using ...

... simulation, SIL, HIL, and on-vehicle environments, specifically targeting scenarios critical for ... Develop, maintain, and enhance robust, scalable test infrastructure and automation frameworks using ...

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Automation Simulation Engineer information

What are Automation Simulation Engineers?

Automation Simulation Engineers are professionals who design, develop, and test virtual models of automated systems, such as robotics, manufacturing lines, or industrial processes. They use simulation software to replicate real-world operations, helping companies optimize performance, identify issues, and reduce costs before actual implementation. Their work is crucial in industries like automotive, aerospace, and manufacturing, where efficiency and precision are vital. By simulating automation systems, they enable organizations to make informed decisions and improve overall productivity.

What is the difference between Automation Simulation Engineer vs Automation Test Engineer?

AspectAutomation Simulation EngineerAutomation Test Engineer
Primary FocusDeveloping and validating simulation models for automation systemsDesigning and executing automated tests for software and hardware
Required SkillsSimulation software, control systems, programming (e.g., Python, MATLAB)Testing frameworks, scripting, defect tracking
Work EnvironmentEngineering labs, R&D departments, manufacturing settingsSoftware development teams, QA departments, manufacturing
Industry UsageManufacturing, robotics, industrial automationSoftware development, electronics, automation industries

While both roles involve automation, the Automation Simulation Engineer focuses on creating virtual models to test automation systems, whereas the Automation Test Engineer concentrates on executing automated tests to ensure software and hardware quality. Both roles require technical skills and are vital in automation industries, but their core responsibilities differ significantly.

How does an Automation Simulation Engineer typically collaborate with cross-functional teams during project development?

Automation Simulation Engineers frequently work alongside controls engineers, mechanical designers, and project managers to ensure simulation models accurately reflect real-world system behaviors. Collaboration often involves participating in design reviews, sharing simulation results, and iterating on model parameters based on feedback from different departments. Effective communication and teamwork are crucial, as simulation insights guide design choices, troubleshoot potential issues, and optimize automation processes before physical implementation. This cross-disciplinary approach ensures smoother project execution and greater system reliability.

What are the key skills and qualifications needed to thrive as an Automation Simulation Engineer, and why are they important?

To thrive as an Automation Simulation Engineer, you need a solid background in engineering principles, control systems, and process automation, usually supported by a degree in electrical, mechanical, or automation engineering. Proficiency with simulation software (such as Siemens Tecnomatix, Rockwell Arena, or MATLAB/Simulink), programming languages, and PLC systems is crucial, and certifications in automation or simulation tools are often valued. Strong analytical thinking, attention to detail, and effective communication skills enable you to interpret complex data and collaborate with multidisciplinary teams. These skills are essential to ensure accurate modeling, efficient automation solutions, and successful project outcomes in industrial environments.
What are popular job titles related to Automation Simulation Engineer jobs in Nevada? For Automation Simulation Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Automation Simulation Engineer jobs in Nevada look for? The top searched job categories for Automation Simulation Engineer jobs in Nevada are:
What cities in Nevada are hiring for Automation Simulation Engineer jobs? Cities in Nevada with the most Automation Simulation Engineer job openings:
Senior Embedded Software Engineer

Senior Embedded Software Engineer

Motional

Las Vegas, NV • On-site, Remote

$118K - $155K/yr

Other

Posted 2 days ago


Job description

Mission Summary:

Motional's onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional's current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.

What You'll Be Doing:

  • Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
  • Design test harnesses for embedded software components and full systems
  • Provide technical mentorship to engineers.
  • Proactively work with cross-functional engineering teams to solve complex and interesting problems.

What We're Looking For:

  • Experience with creating detailed requirements from use cases.
  • Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
  • Experience writing software for embedded platforms in C and C++.
  • Experience with Test-Driven Development (TDD).
  • Experience working on embedded Linux / RTOSs.
  • Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
  • Experience with debugging on embedded platforms.
  • Experience writing software in Python and experience doing automation with shell scripting.
  • Experience working with ARM Cortex MCUs or Microprocessors.

Bonus Points (not required):

  • Experience working with large data pipelines, and platforms that require deterministic execution.
  • Experience using inter-system communication protocols such as I2C and SPI
  • Experience deploying Machine Learning models.
  • Experience working with GPUs.
  • Experience working directly with the Linux kernel or Device Drivers.
  • Experience with Simulation and Code Generation, and knowing when their use is appropriate.
  • Experience working with Bazel.
  • Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
  • Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.