Embedded Software Engineer – Aviation & DoD (Remote)

Mountain Top Talent LLC; Dallas (TX); Hybrid; USD 90,000 - 135,000; Full time

Benefits offered by this job

Competitive pay

DoD project experience

Job summary

Mountain Top Talent LLC is seeking an Embedded Software Engineer to support DoD unmanned systems. The role requires a U.S. citizen with the ability to obtain a Secret clearance.

The job supports full lifecycle development, testing, and cross-domain security, with remote options and travel to customer sites. The candidate will work across software/hardware integration, design reviews, and leveraging AI tools to accelerate learning.

Qualifications

• Bachelor's degree in CS, CE, Software Engineering or related field
• 3+ years of embedded software development
• Strong interest in defense systems, aviation, unmanned systems, or ground vehicle technologies
• Experience with C++, C, Java, Kotlin
• US Citizen and eligible to obtain a DoD security clearance
• Excellent problem-solving, analytical, and written/verbal communication skills

Responsibilities

• Follow the full lifecycle software development process.
• Develop functional, interface and technical requirements and use cases.
• Perform software verification by developing automated testing procedures, solutions and frameworks.
• Perform user acceptance testing.
• Participate in design and code reviews.
• Look for security vulnerabilities in coding.
• Collaborate with team members, project leads and customers.
• Use AI and other tools to accelerate learning and create deliverables.

Skills

Embedded software

C++ programming

C programming

Java

Kotlin

Education

Bachelor's degree in CS/CE/SE

Tools

Visual Studio

Eclipse

Git

Docker

Job description

Mountain Top Talent LLC is seeking an Embedded Software Engineer to support DoD unmanned systems. The role requires a U.S. citizen with the ability to obtain a Secret clearance.

The job supports full lifecycle development, testing, and cross-domain security, with remote options and travel to customer sites. The candidate will work across software/hardware integration, design reviews, and leveraging AI tools to accelerate learning.