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Remote Graduate Mechatronics Engineer Jobs in Nevada

Motional

Senior Embedded Software Engineer

Las Vegas, NV · On-site +1

$149K - $198K/yr

We are hiring in a range of levels, from graduate engineers to Staff engineers. What You'll Be ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

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Remote Graduate Mechatronics Engineer information

What are the key skills and qualifications needed to thrive as a Remote Graduate Mechatronics Engineer, and why are they important?

To thrive as a Remote Graduate Mechatronics Engineer, you need a solid background in mechanical, electrical, and software engineering, typically supported by a relevant engineering degree. Familiarity with CAD software, programming languages (such as Python or C++), and simulation tools like MATLAB/Simulink is crucial, along with any certifications in robotics or automation. Strong problem-solving abilities, effective communication, and self-motivation are vital soft skills, especially when working remotely. These competencies ensure you can design, analyze, and troubleshoot complex systems efficiently while collaborating across distributed teams.

How does a Remote Graduate Mechatronics Engineer typically collaborate with multidisciplinary teams while working off-site?

As a Remote Graduate Mechatronics Engineer, you’ll regularly collaborate with teams across mechanical, electrical, and software disciplines using digital communication tools such as video conferencing, shared design platforms, and project management software. You’ll participate in virtual meetings to discuss project requirements, share design updates, and resolve technical challenges. Building strong communication skills and being proactive in providing status updates are essential for effective teamwork in a remote setting. Most organizations also provide mentorship and regular check-ins to help remote graduate engineers integrate with the team and grow professionally.

What does a Remote Graduate Mechatronics Engineer do?

A Remote Graduate Mechatronics Engineer is an entry-level professional who works from a remote location to design, develop, and maintain systems that combine mechanical, electrical, and computer engineering. Their tasks may include assisting in the creation of automation equipment, robotics, or smart devices, often collaborating with teams via digital platforms. They typically analyze data, run simulations, and troubleshoot issues while learning industry standards and best practices.
What are the most commonly searched types of Graduate Mechatronics Engineer jobs in Nevada? The most popular types of Graduate Mechatronics Engineer jobs in Nevada are:
What are popular job titles related to Remote Graduate Mechatronics Engineer jobs in Nevada? For Remote Graduate Mechatronics Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Graduate Mechatronics Engineer jobs in Nevada look for? The top searched job categories for Remote Graduate Mechatronics Engineer jobs in Nevada are:
What cities in Nevada are hiring for Remote Graduate Mechatronics Engineer jobs? Cities in Nevada with the most Remote Graduate Mechatronics Engineer job openings:
Remote Graduate Mechatronics Engineer jobs near you
Infographic showing various Remote Graduate Mechatronics Engineer job openings in Nevada as of July 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 100% Remote job distribution.
Senior Embedded Software Engineer

Senior Embedded Software Engineer

Motional

Las Vegas, NV • On-site, Remote

$118K - $155K/yr

Other

Re-posted 14 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.

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