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Iot Embedded Firmware Engineer Jobs in Washington

Zetier

CNO Embedded Engineer

Arlington, VA · On-site

Development on embedded platforms (e.g. uBoot, IoT, drone firmware) * Successfully developed ... Reverse engineering experience (e.g. gdb, Binary Ninja, IDA Pro) * Developed software on mobile ...

Zetier

CNO Embedded Engineer

Arlington, VA

Development on embedded platforms (e.g. uBoot, IoT, drone firmware) * Successfully developed ... Reverse engineering experience (e.g. gdb, Binary Ninja, IDA Pro) * Developed software on mobile ...

NTT DATA Services

IoT / Edge Software Engineer

Bethesda, MD · On-site +1

$68K - $141K/yr

... device management, firmware updates, and operational status monitoring in compliance with ... The position requires hands-on experience with embedded Linux, MQTT messaging, and integration with ...

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Iot Embedded Firmware Engineer information

What does an IoT embedded firmware engineer do?

An IoT Embedded Firmware Engineer designs, develops, and maintains the low-level software (firmware) that runs on embedded devices within Internet of Things (IoT) systems. Their work involves programming microcontrollers, integrating sensors and wireless communication modules, and ensuring efficient, secure operation of connected devices. They collaborate with hardware engineers and software developers to create reliable, scalable IoT solutions for applications such as smart homes, industrial automation, and healthcare devices.

What are the key skills and qualifications needed to thrive as an IoT embedded firmware engineer, and why are they important?

To thrive as an IoT Embedded Firmware Engineer, you need strong proficiency in embedded C/C++ programming, microcontroller architectures, and a solid understanding of electronics, often supported by a degree in electrical engineering or computer science. Experience with real-time operating systems (RTOS), communication protocols (such as SPI, I2C, UART), and tools like JTAG debuggers or oscilloscopes is typically required. Problem-solving ability, attention to detail, and effective teamwork are critical soft skills for success in this role. These skills and qualities ensure robust, reliable firmware development and seamless device integration within the IoT ecosystem.

What are some typical challenges IoT embedded firmware engineers face when working on new device integrations?

IoT Embedded Firmware Engineers often encounter challenges such as ensuring compatibility between various hardware components and maintaining reliable connectivity in diverse network environments. Debugging low-level code and optimizing firmware for power efficiency are frequent tasks, especially when devices must operate for long periods on battery power. Additionally, collaborating closely with hardware engineers and cloud software teams is essential to ensure seamless integration and smooth data flow across the entire IoT ecosystem.

What is the difference between Iot Embedded Firmware Engineer vs Iot Software Developer?

AspectIot Embedded Firmware EngineerIot Software Developer
CredentialsEmbedded systems certifications, technical degrees in electronics or computer engineeringSoftware development degrees, coding certifications
Work EnvironmentEmbedded hardware, microcontrollers, real-time operating systemsApplication software, cloud platforms, mobile or web apps
Industry UsageManufacturing, consumer electronics, automotiveSmart home, IoT platforms, enterprise solutions

The Iot Embedded Firmware Engineer focuses on developing low-level firmware for IoT devices, working closely with hardware. In contrast, the Iot Software Developer designs higher-level applications and cloud integrations. Both roles require technical expertise but differ mainly in their focus on hardware versus software layers within IoT systems.

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Iot Embedded Firmware Engineer jobs near you
Infographic showing various Iot Embedded Firmware Engineer job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution.

Principal Firmware Reverse Engineer (AI-Assisted)

Bigbear.ai

Columbia, MD

$151K - $227K/yr

Full-time

Re-posted 5 days ago

Job description

Overview

BigBear.ai is seeking a Principal Firmware Reverse Engineer focused on advancing reverse engineering capabilities through AI-assisted tooling and automation. You will design and implement tooling enhancements that empower reverse engineers to work more efficiently on firmware, embedded systems, and application software. This role bridges deep reverse engineering expertise with emerging AI/LLM technologies to create next-generation analysis workflows.


Responsibilities

  • Design and implement tooling enhancements to support reverse engineering workflows for firmware, embedded systems, and application software
  • Experiment with autonomous or semi-autonomous agents to assist with development and analysis workflows
  • Extend or integrate reverse engineering tools such as Ghidra to enhance team capabilities
  • Develop automation for common reverse engineering tasks, including analysis and documentation
  • Apply AI-assisted techniques to binary analysis, annotation, and pattern identification
  • Collaborate with customers and teammates to gather feedback and iterate on solutions
  • Measure and document the effectiveness of tooling improvements
  • Provide technical leadership and mentorship to junior engineers on the team

Qualifications

  • 12+ years of relevant experience, or Bachelor's degree in a technical discipline + 4+ years of experience
  • Clearance:TS/SCI w/Poly
  • Hands-on experience with reverse engineering tools such as Ghidra or IDA Pro
  • Strong understanding of low-level software concepts (assembly, binaries, memory, calling conventions)
  • Experience developing software tools, scripts, or plugins to support analysis workflows
  • Proficiency in at least one scripting or programming language commonly used in reverse engineering workflows
  • Ability to prototype, evaluate, and refine experimental tooling
  • AI/LLM curiosity and readiness to learn on-the-job; familiarity with AI/LLM technologies and interest in advancing your skills to the next level