Software Engineer
Modern Technology Solutions
Huntsville, AL · Posted August 12, 2026
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Where Huntsville, AL ranks
Where Huntsville, AL placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for aerospace and defense jobs555 openings · of 67
- #2Best cities for pay after cost of living in the Southeast$164k · of 33
- #2Best cities for software and engineering jobs in the Southeast701 openings · of 65
- #3Best all-round cities for mid-career professionals in the Southeast74 / 100 · of 33
- #6Best cities for aerospace and defense pay after cost of living$151k · of 19
- #12Best all-round cities for AI careers in the Southeast61 / 100 · of 33
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing does not state pay. Across 696 open software engineer listings that state pay, the middle half runs $168,000 to $251,000 and the median is $201,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
We are seeking an experienced Software Engineer with a strong background in algorithm design, optimization, and implementation using C++, FORTAN, Python, and MATLAB. The ideal candidate excels at solving complex technical challenges, designing efficient software architectures, and working collaboratively within cross-functional engineering teams.
Responsibilities · Design, develop, and optimize algorithms for complex software systems. · Implement high‑performance, reliable, and maintainable code using modern standards. · Analyze system requirements to architect scalable algorithmic solutions. · Profile and optimize existing algorithms for speed, accuracy, and resource usage. · Integrate software components written in multiple programming languages, ensuring seamless interoperability and consistent functionality across C++, Python, MATLAB, and legacy codebases. · Collaborate with systems engineers, domain experts, and other software developers to integrate algorithms into larger applications. · Write unit tests, participate in code reviews, and ensure code quality across the software lifecycle. · Document algorithmic approaches, assumptions, and performance metrics. · Troubleshoot and resolve technical issues in both new and legacy codebases.
Required Qualifications Note: US citizenship and an Active Security Clearance is required · Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related field. · 7+ years of professional software engineering experience. · Strong expertise in modern C++ (including templates, STL, memory management, and object‑oriented design), with additional professional experience in Python, MATLAB, and Fortran. · Demonstrated experience developing and implementing complex algorithms. · Skilled in debugging, profiling, performance tuning, and code optimization. Experience with version control systems such as Git. · Ability to work independently on technically challenging problems and contribute within a collaborative team setting. · Strong analytical, mathematical, and problem‑solving skills.
Preferred Qualifications · Master’s or PhD in a technical field related to algorithms or software engineering. · Experience with real‑time systems or high‑throughput data processing. · Knowledge of numerical methods, signal processing, or related algorithmic domains. · Experience modernizing or integrating legacy Fortran-based algorithms into contemporary software systems. · Familiarity with CI/CD pipelines, DevSecOps, containerization, or automated testing frameworks. · Experience with Linux development environments.
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