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Embedded Linux Remote Jobs in Nevada (NOW HIRING)

Senior Embedded Software Engineer

Las Vegas, NV · On-site +1

$149K - $198.50K/yr

Experience working on embedded Linux / RTOSs. * Experience working with networks (Ethernet, CAN etc ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Embedded Linux Remote information

What are the key skills and qualifications needed to thrive as an Embedded Linux Engineer working remotely, and why are they important?

To thrive as an Embedded Linux Engineer working remotely, you need a solid background in embedded systems development, Linux OS internals, and programming languages such as C/C++. Experience with cross-compilation toolchains, version control systems (like Git), and knowledge of build systems (such as Yocto or Buildroot) are typically required, along with relevant certifications being advantageous. Excellent problem-solving, self-motivation, and clear communication skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure reliable system performance, efficient remote teamwork, and the successful delivery of robust embedded solutions.

What are the common challenges faced when working remotely as an Embedded Linux engineer, and how can they be managed?

Remote Embedded Linux engineers often face challenges such as debugging hardware-related issues without direct physical access, coordinating with cross-functional teams across time zones, and maintaining effective communication about project status. To manage these, many teams utilize remote debugging tools, establish clear documentation practices, and schedule regular check-ins to ensure alignment. Being proactive in communication and leveraging collaborative platforms can help overcome most remote work hurdles in this field.

What is an Embedded Linux Remote job?

An Embedded Linux Remote job involves working with embedded systems that run on the Linux operating system, but with the flexibility to work remotely instead of on-site. Professionals in this role develop, program, test, and maintain Linux-based software for devices like routers, IoT gadgets, automotive systems, and industrial controllers. They are responsible for kernel development, device driver integration, optimizing system performance, and ensuring the stability and security of embedded devices. Remote embedded Linux engineers collaborate with teams using online tools, manage code repositories, and may need to debug hardware remotely or via simulators. This position requires strong knowledge of Linux internals, C/C++ programming, and experience with embedded hardware platforms.

What is the difference between Embedded Linux Remote vs Embedded Linux Engineer?

AspectEmbedded Linux RemoteEmbedded Linux Engineer
CredentialsTypically requires Linux certifications, programming skills, and remote work experienceRequires Linux, embedded systems, and programming certifications or experience
Work EnvironmentRemote, often freelance or contract-basedOn-site or hybrid in embedded systems companies
Industry UsageUsed across industries for remote development rolesCommonly employed in product development and manufacturing
Search IntentPeople looking for remote embedded Linux jobsPeople seeking embedded Linux engineering roles

Embedded Linux Remote roles focus on remote work, requiring skills in Linux and embedded systems, often with flexible arrangements. Embedded Linux Engineers typically work on-site or hybrid, involved in product development. Both roles demand Linux expertise but differ mainly in work location and employment setup.

What are the most commonly searched types of Embedded Linux jobs in Nevada? The most popular types of Embedded Linux jobs in Nevada are:
What job categories do people searching Embedded Linux Remote jobs in Nevada look for? The top searched job categories for Embedded Linux Remote jobs in Nevada are:
What cities in Nevada are hiring for Embedded Linux Remote jobs? Cities in Nevada with the most Embedded Linux Remote job openings:
Senior Embedded Software Engineer

Senior Embedded Software Engineer

Motional

Las Vegas, NV • On-site, Remote

$118.40K - $155.20K/yr

Other

Posted 22 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.