Jobs Companies Torch Technologies AI Solutions Engineer - Legacy Systems Automation & Modernization

About this AI Solutions Engineer - Legacy Systems Automation & Modernization role at Torch Technologies

Torch Technologies · Onsite · Huntsville, AL

Torch Technologies

Thank you for your interest in employment with Torch Technologies. We are a 100% employee-owned, Certified Great Place To Work and named Best Places to Work in Huntsville/Madison County, headquartered in Huntsville, AL. Our team provides superior research, development, and engineering services to the Federal Government and Department of War. As one of the nation’s top 100 defense companies, the services we provide directly support the men and women who serve our country. Our corporate mission sums up the pride our employee-owners take in the work we do: “Lighting the Pathway of Freedom”. And, as a Certified Evergreen ESOP, we have made the commitment to grow and sustain our company for the next 100 years! Come grow with us!

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

#LI-DK1


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. 

­

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, citizenship, ancestry, marital status, protected veteran status, disability status or any other status protected by federal, state, or local law.  Torch Technologies, Inc. participates in E-Verify. 

 

 

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Careers Link as a result of your disability. You can request reasonable accommodations by sending an email to [email protected]. Thank you for your interest in Torch Technologies. 

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About Torch Technologies

From the CEO's desk... When Bill Roark and Don Holder founded Torch in 2002, they knew that employees were the company's greatest asset. They believed that offering employees a stake in the outcome, by making them all owners, was critical to building a successful organization. I share that feeling. Bill and Don's original intent was fully achieved in 2011 when Torch converted to a 100 percent S-Corp ESOP. Since that time, the company has grown over ten-fold and gained national recognition for the success we have demonstrated as an employee-owned company. Today, Torch continues to respect the individual contributions of our employee-owners and to share the rewards of our success. In addition,

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