Design, develop, test, and maintain software for real-time, high-availability systems.
Use AI-assisted development tools to accelerate coding, refactoring, debugging, and test creation.
Apply AI responsibly across the full SDLC, including requirements analysis, design support, implementation, testing, documentation, and code review.
Participate in Agile ceremonies including daily stand-ups, sprint planning, and release reviews.
Analyze complex system requirements and translate them into efficient, maintainable software designs.
Engineer and maintain automation scripts deployed across development, test, and production environments.
Promote code reuse, software quality, and cross-team collaboration.

Requirements

Bachelor’s degree in Computer Science or related field and 8-12 years of prior relevant experience or Masters with 6-10 years of prior relevant experience.
Strong experience with object-oriented programming.
Proficiency in C, C++, and/or Ada (Ada preferred but optional).
Experience developing real-time, multi-threaded software.
Familiarity with Linux (Red Hat), virtual machines, and hypervisors.
Experience with low-level communications (TCP/IP, UDP, SCTP).
Familiarity with hardware or CAS integration.
Experience using source control and configuration management tools.
Strong communication skills and ability to work independently or within a team.
Ability to obtain and maintain a public trust security clearance. Ability to obtain an SF-85 preferred.
AI-Driven Engineering Experience: We are specifically looking for engineers who actively use AI as part of their daily development workflow. Hands-on experience with AI-assisted coding tools (e.g., Claude Code or similar) for:
Code generation and refactoring
Debugging and test creation
IDE-based workflows
Working knowledge of large language model platforms (OpenAI, Anthropic, Google Gemini).
Experience designing and refining effective prompts and validating AI-generated outputs.
Understanding of human-in-the-loop development, traceability, and responsible AI use.
Ability to evaluate AI outputs for correctness, performance, bias, and safety, especially in regulated or safety-impacting environments.
Experience incorporating AI/ML techniques into the software development process.
Experience with test automation.

Benefits

Health and Wellness programs
Income Protection
Paid Leave
Retirement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

object-oriented programmingCC++Adareal-time software developmentmulti-threaded softwarelow-level communicationstest automationAI-assisted coding toolsAI/ML techniques

Soft Skills

strong communication skillsability to work independentlyteam collaborationcode reuse promotionsoftware quality promotion

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Computer Sciencepublic trust security clearanceSF-85