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What is a Remote Arm Cortex engineer?

A Remote Arm Cortex engineer is a professional who specializes in developing, programming, or maintaining systems based on Arm Cortex microprocessors, often working remotely. Arm Cortex processors are widely used in embedded systems, IoT devices, and mobile technology. These engineers may work on firmware development, software optimization, or integrating Arm Cortex chips into various hardware solutions. Their remote role allows them to collaborate with teams and manage projects from different locations, leveraging tools for virtual communication and development.

What are the key skills and qualifications needed to thrive as an ARM Cortex Embedded Systems Engineer, and why are they important?

To thrive as an ARM Cortex Embedded Systems Engineer, you need a solid background in embedded systems design, proficiency in C/C++ programming, and experience with ARM architecture, often supported by a degree in electrical engineering or computer science. Familiarity with development tools such as Keil MDK, ARM Development Studio, JTAG debuggers, and RTOS platforms is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help engineers collaborate and resolve complex technical issues. These competencies are crucial for delivering reliable, efficient embedded solutions in industries like automotive, IoT, and consumer electronics.

What are some common challenges faced by professionals working in remote ARM Cortex development roles?

Professionals in remote ARM Cortex development roles often encounter challenges such as coordinating with team members across different time zones, ensuring hardware and software integration without direct access to physical devices, and maintaining effective communication for debugging and code reviews. Adapting to virtual collaboration tools and setting up reliable remote testing environments are essential for productivity. Overcoming these challenges requires strong self-management skills, proactive communication, and familiarity with remote debugging tools and simulators.
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Senior Embedded Software Engineer

Senior Embedded Software Engineer

Motional

Las Vegas, NV • On-site, Remote

$118K - $155K/yr

Other

Re-posted 8 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.

Apply