2

Remote Embedded Software Jobs in Mars, PA (NOW HIRING)

If you are a software engineer and love the idea of working on embedded AI hardware and software ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Software Engineer PANTHERx is the nation's largest rare disease pharmacy, and we put the patient ... Hybrid, remote and flexible on-site work schedules are available, based on the position. PANTHERx ...

Senior Back End Software Engineer

Pittsburgh, PA · Remote

$125K - $165K/yr

Our software engineers at Epistemix show a clear passion for quality and love to bring software to ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Senior Software Engineer

Pittsburgh, PA · On-site +1

$150K - $175K/yr

As a software engineer at Karoo Health, you show a clear passion for quality and love to bring ... Possibly fully remote work environment with flexible hours * Health benefits, learning stipends ...

Provide on-site and remote support for system commissioning and upgrades. Who you are: * You have a ... Experience with C and C++ programming languages, particularly in embedded or industrial software ...

next page

Showing results 1-20

Remote Embedded Software information

See Mars, PA salary details

$67.7K

$148.4K

$168.3K

How much do remote embedded software jobs pay per year?

As of Jun 12, 2026, the average yearly pay for remote embedded software in Mars, PA is $148,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,200.00 and $167,400.00 per year, depending on experience, location, and employer.

What is a remote embedded software engineer?

A remote embedded software engineer is a professional who designs, develops, tests, and maintains software that runs on embedded systems, such as microcontrollers or specialized hardware, while working from a location outside the traditional office environment. These engineers typically collaborate with hardware teams, write code for real-time or resource-constrained systems, and use remote tools to debug and deploy software. They may work in industries like automotive, medical devices, consumer electronics, or industrial automation. Remote embedded software engineers rely on communication and project management tools to coordinate with their teams and ensure product quality.

What are some common challenges faced by remote embedded software engineers, and how can they be addressed?

Remote embedded software engineers often face challenges such as limited access to physical hardware for testing, coordinating with hardware teams across locations, and ensuring clear communication about design specifications. To overcome these, teams typically use simulation tools, remote access labs, and detailed documentation. Regular virtual meetings and collaborative platforms also help maintain alignment and facilitate troubleshooting in distributed environments.

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

To thrive as a Remote Embedded Software Engineer, you need expertise in embedded systems programming (typically in C/C++), hardware interfacing, and a relevant degree in computer engineering or electrical engineering. Familiarity with development tools such as debuggers, version control systems (e.g., Git), and real-time operating systems (RTOS) is commonly required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed team environment. These skills ensure reliable software integration with hardware, efficient collaboration, and successful delivery of complex embedded solutions.

What is the difference between Remote Embedded Software vs Remote Firmware Engineer?

AspectRemote Embedded SoftwareRemote Firmware Engineer
Required CredentialsBachelor's in Computer Engineering, Electrical Engineering, or related; experience with embedded systemsBachelor's in Electrical Engineering, Computer Engineering, or related; experience with firmware development
Work EnvironmentDevelops software for embedded devices, often in hardware labs or remote setupsCreates low-level firmware for hardware components, typically in hardware labs or remote
Industry UsageAutomotive, IoT, consumer electronics, industrial systemsConsumer electronics, IoT, aerospace, automotive
Common Search/ComparisonYesYes

Remote Embedded Software and Remote Firmware Engineer roles both involve working on embedded systems, but Embedded Software focuses on higher-level software development, while Firmware Engineers work on low-level hardware control code. Both require similar credentials and are used across industries like automotive and IoT, often in remote or hybrid environments.

What Are Remote Embedded Software Jobs?

Remote embedded software jobs include embedded software engineer positions. As a work from home embedded software engineer, you develop embedded software systems for a variety of computerized devices. Your responsibilities start with assessing your client’s needs. You then design and code the embedded software, troubleshoot your software systems, perform research and test actions on the software, and implement software updates whenever necessary. Other duties include maintaining the software programs, documenting solutions to issues, providing the necessary post-production support, and reviewing the implemented system to debug the embedded environment and interpret error reports.

What cities near Mars, PA are hiring for Remote Embedded Software jobs? Cities near Mars, PA with the most Remote Embedded Software job openings:
Senior Embedded Software Engineer

Senior Embedded Software Engineer

Motional

Pittsburgh, PA • On-site, Remote

$120K - $157K/yr

Other

Posted 6 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.