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Algorithms Engineer Jobs in Texas (NOW HIRING)

Raytheon

Senior Algorithm Systems Engineer

Plano, TX · On-site

$100K - $137K/yr

Signal Processing Algorithms or Models, Image Processing Algorithms or Models, Detection Theory or ... Programming experience in C or C++, and hands on experience using MATLAB or Python for data ...

Raytheon

Algorithm Senior Systems Engineer

Plano, TX

$100K - $136K/yr

Develop, refine, and analyze algorithms to support mission-critical aerospace applications * Conduct trade studies to compare technical approaches and guide engineering decisions * Build statistical ...

Raytheon

Senior Algorithm Systems Engineer

Plano, TX

$100K - $136K/yr

Develop, refine, and analyze algorithms to support mission-critical aerospace applications * Conduct trade studies to compare technical approaches and guide engineering decisions * Build statistical ...

Gormat

Data Scientist 3

San Antonio, TX · On-site

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and ...

Gormat

Data Scientist 3

San Antonio, TX

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and ...

Gormat

Data Scientist 3

San Antonio, TX · On-site

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and ...

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Algorithms Engineer information

See Texas salary details

$49.8K

$122.4K

$180.3K

How much do algorithms engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for algorithms engineer in Texas is $122,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $137,400.00 per year, depending on experience, location, and employer.

How do Algorithms Engineers typically collaborate with other teams during the product development process?

Algorithms Engineers frequently work alongside cross-functional teams, including software developers, data scientists, and product managers, to ensure that algorithmic solutions are effectively integrated into products. They often participate in regular meetings to discuss requirements, share progress, and troubleshoot technical challenges. Close collaboration is essential, as algorithms must align with product goals and user needs, and Engineers may need to adjust models or optimizations based on feedback from testing or user data. This teamwork not only improves the final product but also provides valuable learning and growth opportunities for Algorithms Engineers.

What are the key skills and qualifications needed to thrive as an Algorithms Engineer, and why are they important?

To thrive as an Algorithms Engineer, you need a strong background in mathematics, computer science, and algorithm design, typically supported by a relevant degree. Proficiency in programming languages such as Python, C++, or Java, and experience with tools like MATLAB or TensorFlow, are commonly required, along with knowledge of data structures and optimization techniques. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and explaining complex concepts. These skills enable the development of efficient, scalable solutions that drive technological innovation and product performance.

What are Algorithms Engineers?

Algorithms Engineers are professionals who design, analyze, and implement algorithms to solve complex computational problems efficiently. They often work in fields such as software development, artificial intelligence, data science, and computer vision. Their role involves optimizing code for speed and scalability, and collaborating with other engineers and researchers to develop new solutions. Strong skills in mathematics, programming, and problem-solving are essential for this job. Algorithms Engineers play a crucial part in making software systems faster, smarter, and more reliable.

What is the difference between Algorithms Engineer vs Data Scientist?

AspectAlgorithms EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentDevelops algorithms for software, hardware, or embedded systemsAnalyzes data to extract insights, build models, and inform decisions
Industry UsageTech, robotics, AI, and software development companiesFinance, healthcare, marketing, and tech sectors
Common Search/ComparisonFocuses on algorithm design and optimizationFocuses on data analysis and predictive modeling

Algorithms Engineers primarily develop and optimize algorithms for software and hardware systems, while Data Scientists analyze data to generate insights and build predictive models. Both roles require strong programming skills and a background in mathematics, but they serve different purposes within technology and data-driven industries.

What are popular job titles related to Algorithms Engineer jobs in Texas? For Algorithms Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Algorithms Engineer jobs in Texas look for? The top searched job categories for Algorithms Engineer jobs in Texas are:
What cities in Texas are hiring for Algorithms Engineer jobs? Cities in Texas with the most Algorithms Engineer job openings:
Algorithms Engineer jobs near you
Infographic showing various Algorithms Engineer job openings in Texas as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $122,372 per year, or $58.8 per hour.
Senior Algorithm Systems Engineer

Senior Algorithm Systems Engineer

Raytheon

Plano, TX • On-site

$100K - $137K/yr

Full-time

Re-posted 3 days ago

Raytheon rating

9.0

Company rating: 9.0 out of 10

Based on 97 frontline employees who took The Breakroom Quiz

5th of 528 rated manufacturers

Job description

Job Summary:
Raytheon is the world's largest aerospace and defense company, dedicated to solving complex problems. They are seeking a Senior Algorithm Systems Engineer to provide technical expertise and leadership across advanced aerospace sensor programs, focusing on algorithm development and performance analysis.
Responsibilities:
• Perform system level performance analysis to evaluate and optimize advanced airborne sensor capabilities
• Develop, refine, and analyze algorithms to support mission-critical aerospace applications
• Conduct trade studies to compare technical approaches and guide engineering decisions
• Build statistical models and performance predictions for complex, multidisciplinary systems
• Execute detailed data analyses following Raytheon engineering processes and best practices
• Participate in formal and informal peer reviews; identify, track, and resolve technical issues
• Provide clear, timely task status updates and deliver high quality work products to the chief engineer
• Interface daily with engineering teammates, other team leads, and cross-functional partners to ensure technical alignment
• Support customer and program presentations by contributing technical content and insights
• Collaborate with both internal teams and external stakeholders to drive successful program outcomes
Qualifications:
Required:
• Typically requires at least a Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM) discipline and a minimum of 5 years of relevant experience in one or more of the following areas: Signal Processing Algorithms or Models, Image Processing Algorithms or Models, Detection Theory or Machine Learning.
• Knowledge developing and implementing signal processing algorithms for airborne surveillance applications, including signal and image processing, physics-constrained modeling, digital communications, or detection and estimation theory.
• Experience in UNIX/Linux environments. Programming experience in C or C++, and hands on experience using MATLAB or Python for data analysis.
• Active and transferable U.S. government issued DoD Secret security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
Preferred:
• Active DoD Top Secret clearance.
• Advanced degree in Science, Technology, Engineering or Mathematics (STEM preferred).
• Mathematical modeling and analytical problem-solving skills.
• Experience using software change management tools, version control systems, and established software development processes.
• Realtime programming for embedded or mission critical systems.
Company:
Raytheon, an RTX business, creates next-generation defense solutions that are smarter, faster and better than previously thought possible. Founded in 1948, the company is headquartered in Waltham, USA, with a team of 10001+ employees. The company is currently Late Stage.

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