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Information Technology, Software Development

Senior Embedded Software Engineer

Egg Harbor, New Jersey, United StatesHybridContractSeniorPosted 2 months agoVisa sponsorship available

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Title: Senior Embedded Software Engineer

Location: Eagan, MN/
Gaithersburg, MD/ Egg
Harbor Township, NJ (Hybrid)

Type: Contract to Hire

This role offers the opportunity to work on real-time, safety-critical systems that directly support national air traffic operations for the United Kingdom. You will help modernize a high-availability air traffic management platform using both traditional systems engineering practices and AI-augmented software development techniques.

What You’ll Do

  • Design, develop, test, and maintain software for real-time, high-availability systems
  • Apply AI-assisted development tools to accelerate coding, refactoring, debugging, and automated test generation
  • Use AI responsibly across the full SDLC — including requirements analysis, design, implementation, testing, documentation, and code review
  • Analyze complex system requirements and translate them into efficient, maintainable designs
  • Develop and maintain automation scripts across development, test, and production environments
  • Promote code quality, reuse, traceability, and cross-team collaboration

Required Qualifications

  • AI-Driven Engineering Experience
  • We are specifically seeking engineers who actively integrate AI into their daily development workflow.
  • Hands-on experience using AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, or similar) for:
  • Code generation and refactoring
  • Debugging and automated test creation
  • IDE-integrated workflows
  • Familiarity with large language model platforms (OpenAI, Anthropic, Google Gemini, etc.)
  • Experience designing effective prompts and validating AI-generated output
  • Understanding of human-in-the-loop development and responsible AI usage
  • Ability to evaluate AI-generated outputs for correctness, performance, safety, and bias — especially in regulated or safety-critical environments
  • Experience incorporating AI/ML techniques into software engineering workflows
  • Experience with automated testing frameworks

Core Technical Qualifications

  • Bachelor’s degree in Computer Science or related field with 8+ years of relevant experience OR Master’s degree with 6+ years of relevant experience
  • Strong object-oriented programming experience
  • Proficiency in C, C++, and/or Ada (Ada preferred but not required)
  • Experience developing real-time, multi-threaded systems
  • Familiarity with Linux (Red Hat), virtual machines, and hypervisors
  • Experience with low-level communications protocols (TCP/IP, UDP, SCTP)
  • Experience with hardware or complex system integration
  • Experience with source control and configuration management tools
  • Strong communication skills and ability to work independently and within cross-functional teams
  • Ability to obtain and maintain a Public Trust clearance
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