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Arm Cortex Jobs (NOW HIRING)

Senior Embedded Software Engineer

Camarillo, CA ยท On-site

$126K - $165K/yr

Interface with senior engineers to implement communication protocols, data handling, and system management in an embedded ARM CORTEX processor environment * Perform trade studies to identify ...

Senior Firmware Engineer

Andover, MA

$121K - $160K/yr

PWM /ADC) for 32 microcontroller (ARM Cortex-M) using C programming language * Experience with real time debugging tools (software and hardware) * Knowledge on embedded software validation and test ...

The candidate must have strong experience in embedded software programming on ARM Cortex-M processors using RTOS. They must be familiar with methods for functional allocation, requirements ...

Senior Embedded Software Engineer

Camarillo, CA ยท On-site

$126K - $165K/yr

Interface with senior engineers to implement communication protocols, data handling, and system management in an embedded ARM CORTEX processor environment * Perform trade studies to identify ...

Senior Embedded Software Engineer

Camarillo, CA ยท On-site

$126K - $165K/yr

Interface with senior engineers to implement communication protocols, data handling, and system management in an embedded ARM CORTEX processor environment * Perform trade studies to identify ...

GNSS Summer Intern

San Diego, CA ยท On-site

$17.75 - $23/hr

Experience with ARM Cortex-M/A or RISC-V embedded processors * Knowledge of DSP concepts: correlation, FFT, carrier/code tracking loops * Experience with Git version control * Familiarity with RF ...

Familiarity with ARM Cortex processor cores * Familiarity with AI tools for software development * Proficiency with Linear Algebra preferred * Experience reading electronic schematics preferred

The candidate must have strong experience in embedded software programming on ARM Cortex-M processors using RTOS. They must be familiar with methods for functional allocation, requirements ...

Senior Embedded Firmware Engineer (T03)

Indianapolis, IN ยท On-site

$98K - $134K/yr

Design, implement, and validate embedded firmware/software solutions using C (and Python), targeting ARM Cortex or similar microcontroller-based architectures. * Develop and integrate peripheral ...

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How much do arm cortex jobs pay per year?

As of Jul 12, 2026, the average yearly pay for arm cortex in the United States is $122,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $141,000.00 per year, depending on experience, location, and employer.

What are typical daily responsibilities for an engineer working with Arm Cortex-based systems?

Engineers working with Arm Cortex-based systems typically spend their days designing, developing, and testing embedded software or hardware that utilizes Arm Cortex processors. This can involve writing and optimizing code, integrating peripherals, debugging low-level system issues, and collaborating with hardware teams to ensure proper implementation. They may also review technical documentation, participate in code reviews, and contribute to architectural discussions for future product enhancements. Regular interaction with cross-functional teams, such as QA and product management, helps ensure that project requirements are met and systems perform reliably.

What are the key skills and qualifications needed to thrive in the Arm Cortex position, and why are they important?

To thrive in a role specializing in Arm Cortex processor development or engineering, you need a solid background in embedded systems, computer architecture, and proficiency in programming languages such as C or C++. Familiarity with Arm development tools, Real-Time Operating Systems (RTOS), and possibly certifications from Arm or related embedded systems providers is often required. Strong problem-solving abilities, collaboration, and effective communication are vital soft skills in this field. These skills are crucial for designing robust, high-performance embedded solutions and ensuring seamless coordination within multidisciplinary engineering teams.

What is an Arm Cortex job?

An Arm Cortex job typically involves working with Arm Cortex processors, which are widely used in embedded systems, IoT devices, and mobile applications. Engineers in this field may develop firmware, optimize software for performance and power efficiency, or design hardware systems based on these processors. Roles can include embedded software engineer, hardware engineer, or systems architect, depending on the specific focus. Knowledge of Arm architectures, low-level programming, and debugging tools is often required.

More about Arm Cortex jobs
What are the most commonly searched types of Arm Cortex jobs? The most popular types of Arm Cortex jobs are:
Senior Embedded Systems Engineer (EE/FW)

Senior Embedded Systems Engineer (EE/FW)

Simbex

Lebanon, NH โ€ข On-site

Full-time

Posted 26 days ago


Job description

Salary: $140,000 to $160,000

Simbex is seeking a Senior Embedded Systems Engineer to own the full hardware-firmware stack for a next-generation IoT wearable platform. This is a dual-discipline role: you will independently design and develop embedded hardware circuits and PCBs alongside production-grade Zephyr RTOS firmware fromcomponentselection and schematic capture through board bring-up, sensor integration, and field deployment. The ideal candidate is a hands-on engineer whotakes end-to-end ownershipin building sensor-based hardware and firmware.

Essential Functions:

Electrical Engineering & Hardware Development

  • Own hardware design fromcomponentselection and schematic capture through PCB layout review and design-for-manufacture
  • Lead board bring-up: power sequencing, peripheral initialization, signal integrity verification, and fault isolation
  • Design and characterize low-power analogfront-endsand power management subsystems for battery-operated wearables
  • Develop hardware test fixtures and produce electrical characterization reports

Firmware Architecture & Development

  • Architect and deliver production Zephyr RTOS firmware on ARM Cortex-M/R targets
  • Author device drivers, BSPs, anddevicetreeoverlays; implement sensor acquisition pipelines for IMU-based impact detection
  • Design low-power state machines and event-driven architectures for wearable operation
  • Set firmware coding standards, CI/CD pipelines, and architecture guidelines for the team

IoT & Wireless Connectivity

  • Implement BLE stacks for real-time telemetry and configuration; design OTA update mechanisms viaMCUboot
  • Integrate cloud connectivity (MQTT/CoAP) and evaluate edge vs. cloud trade-offs for impact detection

Signal Processing & Algorithm Integration

  • Port impact detection algorithms from MATLAB or Python into constrained C/C++ firmware
  • Apply sensor fusion (Madgwick, Mahony, complementary filter) foraccuratehead kinematics from multi-axis IMU data
  • OptimizeDSP routines for speed and memory footprint on resource-constrained targets

Testing & Quality

  • Define and execute unit, HIL, and system integration test plans; build automated regression frameworks
  • Maintain design documentation, traceability matrices, and test reports; support compliance activities

Required Qualifications:

  • BS or MS in Electrical Engineering, Computer Engineering, Embedded Systems, or related field
  • 7+ years of embedded development experience, including 3+ years on production-shipped products
  • Hands-on EE skills: independently read schematics, perform board bring-up, and debug hardware/firmware interaction
  • Proficiencywith bench instrumentation (oscilloscope, logic analyzer, power analyzer) for power characterization and debug
  • Experience selecting microcontrollers, RF SoCs, and sensor ICs (IMU, accelerometer, gyroscope) for product designs
  • Strong C/C++ in bare-metal and RTOS-based embedded contexts
  • Demonstrated Zephyr RTOS experience:devicetree,Kconfig, module system, and west toolchain
  • Experience with ARM Cortex-M SoCs (Nordic nRF52/nRF53, STM32, or similar) and peripherals: SPI, I2C, UART, USB
  • BLE firmware experience and familiarity with OTA update workflows (MCUbootpreferred)


Preferred Qualifications:

  • Sensor fusion algorithm experience (Madgwick, Mahony) and algorithm porting from MATLAB/Python
  • Exposure to sports biomechanics, head impact research, or wearable athletic sensing
  • Cloud IoT platform experience (AWS IoT Core, Azure IoT Hub) and embedded security (TLS/DTLS, secure elements)
  • Multi-core SoC development (e.g., nRF5340) or experience in a regulated/safety-critical product environment