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Algorithm Jobs in Alabama (NOW HIRING)

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Algorithm Software Engineer

Huntsville, AL · On-site

$85K - $104K/yr

Experience implementing mathematical algorithms in software. * Basic experience in the design and development of complex mathematical algorithms. * Experience with problem-solving, including the ...

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How much do algorithm jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for algorithm in Alabama is $71.14, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $80.62 per hour, depending on experience, location, and employer.

What is an algorithm?

An Algorithm job typically involves designing, analyzing, and optimizing algorithms to solve complex problems efficiently. Professionals in this role work in fields like computer science, data science, artificial intelligence, and software development. They create algorithms for tasks such as data processing, machine learning, search optimization, and automation. Strong mathematical and programming skills are essential, along with knowledge of algorithmic complexity and data structures.

What are the key skills and qualifications needed to thrive in the algorithm position, and why are they important?

To excel as an Algorithm Engineer, you typically need a strong background in computer science, mathematics, and programming languages such as Python, C++, or Java, often supported by a relevant degree. Familiarity with algorithms and data structures, version control systems like Git, and experience with technical tools such as MATLAB or TensorFlow are highly valued. Analytical thinking, problem-solving abilities, and effective communication skills are crucial soft skills for this position. These competencies are essential to create efficient algorithms, collaborate across teams, and drive innovation in computational solutions.

What are typical projects or tasks that an algorithm engineer works on?

As an Algorithm Engineer, you might work on developing and optimizing algorithms for tasks like data analysis, machine learning, computer vision, or operations research, depending on the industry. Daily responsibilities often include writing and testing code, analyzing performance bottlenecks, and collaborating with data scientists, product managers, or software engineers to integrate algorithms into production systems. You may also be involved in researching new techniques, reviewing technical literature, and presenting your findings to technical and non-technical audiences. This role often requires balancing creative problem-solving with practical implementation and continuous improvement.

What are the most commonly searched types of Algorithm jobs in Alabama?

The most popular types of Algorithm jobs in Alabama are:

What are popular job titles related to Algorithm jobs in Alabama?

For Algorithm jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Algorithm jobs in Alabama look for?

The top searched job categories for Algorithm jobs in Alabama are:

What cities in Alabama are hiring for Algorithm jobs?

Cities in Alabama with the most Algorithm job openings:

Algorithm jobs near you
Infographic showing various Algorithm job openings in Alabama as of August 2026, with employment types broken down into 4% Locum Tenens, 71% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $147,981 per year, or $71.1 per hour.

Radar Algorithm Developer

Huntsville, AL • On-site

IERUS Technologies, Inc.
Manufacturing • 51 - 200 employees
Learn more about IERUS Technologies, Inc.external

Full-time

Retirement

Re-posted 24 days ago

Job description

Job Description
IERUS specializes in technology research, testing, and implementation with core competencies in electromagnetics phenomenology, computational analytics (algorithm acceleration and machine learning), and weapon system engineering. IERUS develops value for our defense and commercial customers through accelerations of the technology life cycle: identifying, creating, transitioning, and producing technologies with integrity of purpose and product. IERUS offers competitive compensation packages, retirement options, and benefits packages. To learn more, please visit www.ierustech.com.
IERUS participates in projects that address weapon systems engineering and the application of advanced machine learning (ML) and artificial intelligence (AI) techniques as well as RF/Optical hardware prototyping and low rate production. We generally seek to apply agile development fundamentals across our corporate portfolio to accelerate technology development timelines. The end goal being early discovery, accelerated development, and high customer engagement.
IERUS participates in projects that seek to apply advanced machine-learning (ML) and artificial intelligence (AI) to our relevant domains of expertise. Past and present areas of expertise for application of ML/AI include:
  • RADAR
    • Signal processing, system design, operational optimization, detection, discrimination, and tracking
  • RF/EO/IR
    • Signal processing, system design, signatures, tracking, and testing
  • Electronic Warfare (EW)
    • System design, research, testing, counter-measures
  • Antennas
    • System design and testing
  • Image processing
    • Segmentation, recognition, and denoising
  • Critical infrastructures
    • Process control systems, situational awareness, cyber security, anomaly detection
  • Vehicles and vessels
    • Situational awareness, cyber security, anomaly detection
  • ML/AI R&D
    • Algorithm development, GPU acceleration, global and local optimization of complex and fused data, adversarial ML, network architecture and computability

Minimum Educational Experience:
  • MS degree in Electrical Engineering, Computer Science, Applied Mathematics, Statistics, or related field, plus 2+ years of experience in applying engineering solutions featuring AI/machine-learning, to the problem types described above
  • OR: BS degree in Electrical Engineering, Computer Engineering, or Computer Science plus 3+ years' experience in applying engineering solutions featuring AI/machine-learning, to the problem types described above

Minimum Qualifications:
  • Must be a U.S. citizen;
  • Active Secret security clearance, preferred TS clearance and TS/SCI opportunities;
  • Experience implementing machine learning solutions for engineering and scientific domains. Should be familiar with related implementation tasks such as feature selection, regression, classification, sensor-fusion, time-series analysis, missing data, optimization, recommender systems, etc.;
  • Mastery of rapid prototyping in at least 1 (preferably 2 or more) of the following scripting languages: Python, R, MATLAB, etc.;
  • Experience implementing solutions using at least 2 of the following supervised methods: SVM/SVR, fuzzy systems (TSK, etc.), tree ensemble methods (Bayesian, bagging, boosting, etc.), NNs (supervised), others;
  • Experience applying advanced math and statistics, especially optimization and related linear algebra techniques.

Preferred Qualifications:
  • PhD in Electrical Engineering, Computer Science, Computer Engineering or related field;
  • Proficiency in at least 1 hard programming language (C/C++, Java, etc.);
  • Experience implementing solutions using any of the following unsupervised methods: Clustering (k-nearest neighbor, DBSCAN, Dirichlet, etc.), autocorrelation, Deep learning methods (DNNs, CNNs, RNNs, LSTMs, etc.) and packages (TensorFlow, Theano, Torch, Caffe, Neon, etc.), GMMs, HMMs, etc.;
  • Experience with Government funding agencies and programs (e.g. DARPA, IARPA, AFRL, SBIR/STTR, RiF, etc.);
  • Publication and/or patent history of applying original solutions to relevant types of problems;
  • Experience implementing solutions using signal processing algorithms and packages;
  • TS/SCI clearance;
  • Engineering experience in the defense industry;
  • Image processing experience;
  • Radar system analysis experience;
  • RF Electronics experience;
  • Antenna design and analysis experience;
  • Software Defined Radio (SDR) experience;
  • Analysis tool-building experience;
  • Target acquisition, tracking and/or algorithm development;
  • Advanced modeling skills and optimization;
  • Knowledge of domain specific RADAR principles, including signal processing, RCS analysis, target acquisition; target tracking, resource management, discrimination, and battle manager interfaces; and / or
  • Experience with GMD/BMDS systems, BMDS radar systems, radar simulation tests and or radar metrics.

Location:
Huntsville, AL
IERUS Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class.
IERUS Technologies participates in E-Verify.

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