Journeyman Software Engineer

About This Role

Independently manage the porting of autonomy software between baselines while simultaneously designing and maintaining sophisticated simulation and hardware-in-the-loop (HIL) environments for validation. Bridge the gap between core software development and rigorous system-level testing to ensure autonomous platforms are reliable and high-performing.

Responsibilities

• Independently lead the migration and adaptation of autonomy software components across different software baselines, ensuring functional parity and performance optimization
• Design, implement, and maintain advanced test environments, including Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) simulations, to validate complex autonomy algorithms
• Develop reusable automated test scripts and frameworks to replace manual verification processes, increasing test coverage and reducing feedback cycles
• Collaborate with cross-functional teams to integrate autonomy software with vehicle management systems, sensors (LiDAR, Vision), and mission payloads
• Establish and optimize CI/CD pipelines to automate regression testing, build processes, and software deployments for autonomous systems
• Execute comprehensive test plans, analyze simulation data to identify edge-case failures, and provide detailed technical reports to senior leadership

Requirements

• Active DoD Secret Security Clearance
• Bachelor's degree in Computer Science, Software Engineering, Aerospace Engineering, or a related field
• 5+ years of professional software engineering experience within autonomous systems, robotics, or complex embedded software
• Strong proficiency in C++ and Python within Linux-based development environments
• Expert-level knowledge of Git, CMake, and debugging tools
• Demonstrated experience building or maintaining simulation environments

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Aerospace Engineering, or a related field
• Five (5) to ten (10) years of professional software engineering experience, specifically within autonomous systems, robotics, or complex embedded software

Nice to Have

• Experience with Real-Time Operating Systems (RTOS) or safety-critical software standards (e.g., DO-178C)
• Familiarity with Hardware-in-the-Loop (HIL) testbench design and data acquisition systems
• Knowledge of containerization (Docker/Kubernetes) and Infrastructure for managing test environments
• Experience validating machine learning models or sensor fusion pipelines in autonomous contexts

Skills

* Required skills

Benefits