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Remote Linux Engineer Jobs in Nevada (NOW HIRING)

Vay

Senior Fleet Support Engineer

Las Vegas, NV · Remote

Why this role is exciting As (Senior) Fleet Support Engineer , you will be instrumental in ... remote driving stations What are we looking for * Extensive Linux experience * Strong debugging ...

Link Technologies

Senior Database Engineer

Las Vegas, NV · Remote

$101.20K - $137.50K/yr

PREFERRED Degree in Computer Science, Electrical Engineering, or an equivalent engineering field ... Advanced knowledge of Linux operating systems and capable of using SSH to access remote systems ...

Motional

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 ...

TEKsystems

AI Cyber Engineer

Las Vegas, NV · Remote

$80 - $90/hr

... Linux, proprietary OS, Industrial Control Systems) • Design cyber security architecture in ... remote position. Application Deadline This position is anticipated to close on Jun 11, 2026. About ...

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How much do remote linux engineer jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote linux engineer in Nevada is $60.83, according to ZipRecruiter salary data. Most workers in this role earn between $48.94 and $68.32 per hour, depending on experience, location, and employer.

What is a Remote Linux Engineer job?

A Remote Linux Engineer is an IT professional responsible for designing, implementing, and maintaining Linux-based systems and servers while working remotely. They handle system administration tasks, troubleshoot issues, optimize performance, and ensure security and stability. This role often involves working with cloud platforms, automation tools, and scripting languages to manage infrastructure efficiently. Remote Linux Engineers collaborate with teams using communication tools and may support DevOps, networking, or cybersecurity functions based on business needs.

What are the key skills and qualifications needed to thrive in the Remote Linux Engineer position, and why are they important?

To thrive as a Remote Linux Engineer, you need a solid understanding of Linux systems administration, networking, scripting languages (such as Bash or Python), and troubleshooting, often backed by a degree in computer science or related certifications like RHCE or CompTIA Linux+. Familiarity with tools like Docker, Ansible, Kubernetes, and virtualization platforms is typically required. Excellent problem-solving abilities, self-motivation, and strong written communication are essential soft skills for remote collaboration and effective support. These skills and qualities are vital to ensuring reliable system performance, efficient remote operations, and seamless teamwork across distributed environments.

What are common challenges faced by Remote Linux Engineers and how are they typically addressed?

Remote Linux Engineers often encounter challenges such as troubleshooting complex system issues without on-site access, maintaining secure remote connections, and staying aligned with distributed team members. These challenges are typically addressed through advanced remote monitoring tools, comprehensive documentation, and regular virtual meetings for knowledge sharing and collaboration. Effective time management and continuous learning are also crucial for staying updated on emerging technologies and best practices. Organizations often provide clear escalation paths and encourage peer support to help engineers resolve critical incidents quickly. Being proactive and adaptable helps ensure both productivity and strong system reliability in a remote environment.
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Remote Linux Engineer jobs near you
Infographic showing various Remote Linux Engineer job openings in Nevada as of May 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,521 per year, or $60.8 per hour.
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.

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