Embedded Software Engineer - Kinetic Effects

Leidos•Huntsville, AL

2d•$87,100 - $157,450•Onsite

About The Position

Leidos is seeking a Mid-Level Embedded Software Engineer to support the development of mission-critical embedded software and firmware for missile defense systems. The selected candidate will contribute to the design, development, integration, and demonstration of advanced software capabilities in a fast-paced engineering environment. This role requires close collaboration with integrated engineering teams and strong technical communication skills to support delivery of high-quality software solutions to customers.

Requirements

Bachelor’s degree in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, Aeronautical Engineering, Mathematics, or related technical discipline from an accredited institution, with an overall GPA of 3.0 or higher.
4+ years of relevant technical experience, or 2+ years with a master’s degree in a related field.
2+ years of experience with real-time embedded system in defense, aerospace, or safety-critical platforms preferred.
U.S. Citizenship required.
Active DoD Secret Security Clearance required.
Must be a resident of North Alabama or willing to relocate to the Huntsville-North Alabama area.
Demonstrate proficiency in C/C++ for embedded systems development.
Experience with real-time operating system (RTOS) such as VxWorks, Integrity, or FreeRTOS
Proficiency with embedded processors and microcontrollers (i.e. ARM Cortex, RISC-V, or similar architectures)
Experience with embedded debugging tools (JTAG, oscilloscopes, etc.)
Experience with modern software development practices including Agile, DevOps, CI/CD, and test automation.
Must have strong analytical and problem-solving skills with the ability to address highly complex technical challenges.
Ability to work independently on well-defined tasks and contribute effectively in a collaborative team environment.

Nice To Haves

Experience with high-speed guided weapons systems, flight controls systems, or similar embedded solutions.
Experience developing large-scale embedded, high-performance systems with a high level of determinism.
Familiarity with containerization technologies (e.g., Docker, Kubernetes).
Familiarity with Model-Based Systems Engineering (MBSE).
Prior experience working in highly regulated or mission-critical environments (e.g., aerospace or defense sectors).
Experience with software safety standards (DO-178C, MIL-STD-882e).
Experience with Agile management tools and concepts such as Jira.
Experience with software configuration management tools such as Git and GitLab.

Responsibilities

Perform conceptual design and development of embedded airborne system software within assigned technical area, including software architecture, code implementation, peer review participation, and comprehensive unit testing.
Own integration of software modules within subsystems and contribute to cross-subsystem integration efforts.
Utilize DevOps and CI/CD pipelines to ensure quality and delivery.
Develop software tools and harnesses that support testing, integration, and maintenance activities.
Contribute to the design, development, testing, troubleshooting, and debugging of embedded software systems within project scope.
Frequent and direct communication with internal stakeholders and team members.
Apply established software engineering principles, standards, and best practices throughout the full software development life cycle (SDLC) including but not limited to: (a) software requirements analysis, (b) hardware compatibility analysis, and (c) development of tools and software products that support infrastructure, platform design and system maintenance.
Recommend new technologies, tools and standards to enhance software engineering practices, collaborating with senior engineers to align with organizational goals.
Coach and mentor junior team members, review their technical work, and contribute to the delivery of projects within technical area, aligning with technical strategy and execution plans.
Demonstrate initiative in identifying improved development workflows, tools, and engineering practices for team adoption, including emerging AI-enabled development capabilities.