Arm Cortex M Developer information
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$33.17 - $38.59
5% of jobs
$38.59 - $44.01
10% of jobs
$44.01 - $49.43
9% of jobs
$49.79 is the 25th percentile. Wages below this are outliers.
$49.43 - $54.85
24% of jobs
The median wage is $55.75 / hr.
$54.85 - $60.27
13% of jobs
$60.27 - $65.69
10% of jobs
$68.13 is the 75th percentile. Wages above this are outliers.
$65.69 - $71.11
11% of jobs
$71.11 - $76.53
6% of jobs
$76.53 - $81.95
4% of jobs
$81.95 - $87.37
1% of jobs
$87.37 - $92.79
7% of jobs
How much do arm cortex m developer jobs pay per hour?
As of Sep 9, 2026, the average hourly pay for arm cortex m developer in the United States is $61.71, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $69.71 per hour, depending on experience, location, and employer.
An Arm Cortex M Developer is a software or embedded systems engineer who specializes in designing, programming, and debugging applications for microcontrollers based on the Arm Cortex-M series architecture. These developers work with low-power, high-efficiency processors commonly found in IoT devices, automotive systems, medical equipment, and consumer electronics. Their responsibilities typically include firmware development, hardware interfacing, real-time operating systems, and optimizing code for resource-constrained environments.
To thrive as an Arm Cortex M Developer, you need strong embedded systems programming skills in C/C++, a solid understanding of microcontroller architecture, and ideally a degree in computer engineering or a related field. Familiarity with development environments like Keil MDK, IAR Embedded Workbench, and debugging tools such as JTAG/SWD is typically required, along with experience using version control systems. Analytical thinking, attention to detail, and effective problem-solving abilities help developers create robust, efficient firmware and collaborate with hardware teams. These skills are essential for designing reliable embedded solutions that meet performance and safety standards in critical applications.
Arm Cortex M Developers often encounter challenges related to balancing performance, memory constraints, and power consumption when optimizing code for embedded systems. Due to limited resources on microcontrollers, developers must carefully manage memory allocation and peripheral usage while ensuring the application remains responsive. Debugging and testing on hardware can also be more complex compared to general-purpose computing, requiring familiarity with specialized tools and techniques.
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