Torch Technologies

AI Solutions Engineer - Legacy Systems Automation & Modernization

Torch Technologies$110K — $130K *
Aerospace & Defense
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • U.S. Citizenship required
  • Master's degree in Computer Science or a related field, or equivalent experience with 10+ years in relevant engineering fields.
  • Bachelor's degree in Computer Science or a related field, or equivalent experience with 12+ years in relevant engineering fields.
  • Active DoD Secret clearance essential
  • Proficiency in C#, C/C++, Python, .NET, and WPF
  • Experience with reverse engineering tools such as Ghidra or IDA Pro
  • Knowledge of communication protocols and embedded interfaces.

Responsibilities

  • Analyze and modernize legacy aviation and ground-system software and tools.
  • Develop AI and machine learning strategies for engineering and testing processes.
  • Reverse engineer legacy software and firmware components.
  • Create algorithms for sensor processing and data analysis.
  • Implement communication protocols and develop protocol decoders.
  • Design modern APIs and middleware for integration purposes.
  • Ensure that AI solutions meet validation and traceability standards.

Benefits

  • ESOP participation
  • 401(k) match
  • Medical, dental, and vision insurance
  • Life insurance and disability coverage
  • Flexible spending accounts and Health Savings Accounts
  • Education assistance
  • Paid time off and holidays.
Full Job Description
Torch Technologies is seeking a Senior AI Solutions Engineer to join a team and help with the modernization, automation, reverse engineering, and integration of legacy aviation and ground-system solutions. This position applies AI/ML, software engineering, embedded systems, reverse engineering, digital engineering, diagnostics/prognostics, signal processing, and DevSecOps to transform legacy capabilities into maintainable components of a larger integrated engineering toolchain.

The successful candidate must be capable of understanding complex legacy systems with incomplete source code or documentation, defining high-level modernization requirements, decomposing those requirements into executable technical tasks, and integrating individual solutions into scalable enterprise architectures.

The role will support aviation and ground platforms, Test Program Sets, Automated Test Equipment, embedded software, communication protocols, APIs, diagnostics, prognostics, algorithms, binary data formats, simulation, and engineering automation.

As a Senior AI Solutions Engineer your duties will include the following, but are not limited to:

  • Analyze and modernize legacy aviation and ground-system software, embedded applications, diagnostics, maintenance systems, Test Program Sets, Automated Test Equipment, and engineering tools.
  • Develop automation strategies using AI, machine learning, generative AI, advanced analytics, and software agents to accelerate engineering, testing, sustainment, diagnostics, and software modernization.
  • Reverse engineer legacy software, firmware, executable images, libraries, proprietary binary formats, communication streams, and undocumented interfaces.
  • Develop algorithms for sensor processing, feature extraction, classification, pattern recognition, time-series analysis, signal processing, sensor fusion, and equipment health assessment.
  • Analyze and implement communication protocols including MIL-STD-1553, ARINC 429, CAN/CAN-FD, J1939, J1708, UDS/ISO 14229, RS-232/422/485, Ethernet, TCP/IP, UDP, UART, SPI, I2C, USB, and proprietary interfaces.
  • Develop protocol decoders, bus monitors, message generators, data recorders, simulation interfaces, and automated protocol-analysis capabilities.
  • Design modern REST APIs, middleware, adapters, gateways, and service interfaces to integrate legacy applications into larger engineering ecosystems.
  • Develop desktop engineering applications using C#, .NET, WPF, XAML, and MVVM, along with embedded and high-performance applications using C, C++, and Python.
  • Translate operational needs and legacy system behavior into system, software, interface, data, performance, cybersecurity, and verification requirements.
  • Define how individual applications and capabilities integrate into a larger digital engineering, DevSecOps, AI, test automation, data, and sustainment toolchain.
  • Develop reusable frameworks and modular architectures supporting plug-ins, protocol modules, parsers, analytics engines, simulators, APIs, and multiple platform configurations.
  • Ensure AI-derived engineering results are validated, traceable, repeatable, and separated appropriately from deterministic mission- or safety-critical functionality.


Required Qualifications:
  • U.S. Citizenship
  • Master's Degree in Computer Science, a related field or equivalent experience. 10+ years of relevant engineering experience in software engineering, embedded systems, systems engineering, avionics, ground systems, test systems, diagnostics, reverse engineering, or related defense engineering disciplines
  • Bachelor's Degree in Computer Science, a related field or equivalent experience. 12+ years of relevant engineering experience in software engineering, embedded systems, systems engineering, avionics, ground systems, test systems, diagnostics, reverse engineering, or related defense engineering disciplines
  • Active DoW Secret clearance.
  • Extensive experience with C#, C/C++, Python, .NET, and WPF.
  • Demonstrated embedded and real-time software engineering experience.
  • Experience with reverse engineering tools such as Ghidra, IDA Pro/Hex-Rays, Radare2, or Cutter.
  • Experience analyzing communication protocols, embedded interfaces, firmware, or binary data formats.
  • Experience integrating software capabilities & AI solutions into larger architectures, automated workflows, or engineering toolchains.
  • Experience with DevSecOps, automated testing, configuration management, and modern software development practices.
  • Experience with signal processing, diagnostics, prognostics, sensors, algorithms, or predictive analytics.
  • Ability to independently investigate complex technical problems where documentation, source code, interfaces, or original development environments may be incomplete.


Preferred Qualifications:

Experience with defense aviation or ground platforms; Test Program Sets; Automated Test Equipment; HUMS/CBM; mission computers; vehicle diagnostics; Green Hills INTEGRITY/INTEGRITY-178; VxWorks; PowerPC; JTAG; MIL-STD-1553; ARINC 429; CAN/J1939; protocol reverse engineering; firmware loaders; HIL/SIL testing; AI-assisted engineering; digital twins; MBSE; RMF; DISA STIGs; Zero Trust; cybersecurity; airworthiness; or safety-critical software is highly desirable.

Schedule: Fulltime, M-F; 8-5

Work Location: Torch site, Huntsville, Alabama

Travel: 0-10%

Relocation Assistance Available: No

Position Contingent Upon Award of Contract: No

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Benefits:

Torch Technologies is proud to offer a stable and professional work environment, a competitive salary, and an excellent, comprehensive benefit package including: ESOP participation, 401(k) match, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, Health Saving Accounts and Health Reimbursement Accounts, EAP, education assistance, paid time off, and holidays.

Applying to Torch Technologies:

Only those candidates invited for an interview will be contacted. Employment at Torch Technologies is contingent upon the successful completion of a comprehensive background check.

About Torch Technologies

Torch Technologies is a defense and aerospace company that provides engineering, technology development, and programmatic support services to the Department of Defense, Missile Defense Agency, and other government agencies. The company's services include systems engineering, modeling and simulation, software development, test and evaluation, and program management. Torch Technologies was founded in 2002 and is headquartered in Huntsville, Alabama.
Learn more about Torch Technologies
Size
1,000 employees
Industry

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