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Senior Algorithm Engineer Jobs in Texas (NOW HIRING)

Senior Algorithm Systems Engineer

Plano, TX · On-site

$100K - $137K/yr

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 ...

DSP Algorithm Engineer

Austin, TX · On-site

$141K - $165K/yr

Description For an exciting well-funded start-up, we are looking for a DSP Optical Communication Algorithm senior engineer. As an Algorithm Engineer you will be part of the R&D group developing next ...

Senior Algorithm Systems Engineer

Plano, TX · On-site

$100K - $136K/yr

Raytheon is seeking a seeking a Senior Algorithm Systems Engineer to support advanced aerospace sensor programs. You will provide technical expertise and leadership across multiple programs and ...

Algorithm Senior Systems Engineer

Plano, TX

$100K - $136K/yr

... Senior Systems Engineer specializing in algorithms to support advanced aerospace sensor programs. You will provide technical expertise across multiple programs and Internal Research and Development ...

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Senior Algorithm Engineer information

See Texas salary details

$55.4K

$117.9K

$171K

How much do senior algorithm engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for senior algorithm engineer in Texas is $117,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $133,700.00 per year, depending on experience, location, and employer.

What is the difference between Senior Algorithm Engineer vs Data Scientist?

AspectSenior Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, EE, or related; strong math and programming skillsBachelor's or Master's in CS, Statistics, or related; strong analytical and programming skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems in tech companiesAnalyzes data to extract insights, often in tech, finance, or healthcare sectors
Industry UsageCommon in AI, robotics, and software developmentPrevalent in analytics, machine learning, and business intelligence

While both roles require strong programming and analytical skills, Senior Algorithm Engineers focus on designing and optimizing algorithms for technical systems, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI and machine learning projects but serve different primary functions within organizations.

What are some common challenges faced by Senior Algorithm Engineers when deploying algorithms into production environments?

Senior Algorithm Engineers often encounter challenges such as ensuring that algorithms are both scalable and efficient when integrated into real-time systems. Balancing model accuracy with computational resource constraints is a frequent task, as well as addressing data inconsistencies and managing version control for iterative algorithm updates. Collaboration with software engineers and data engineers is essential to ensure smooth deployment, monitor performance, and quickly resolve any production issues. Staying updated with the latest frameworks and best practices also helps in overcoming these challenges.

What are the key skills and qualifications needed to thrive as a Senior Algorithm Engineer, and why are they important?

To thrive as a Senior Algorithm Engineer, you need advanced proficiency in mathematics, computer science, and algorithm design, usually supported by a relevant degree and extensive experience in the field. Expertise with programming languages such as Python or C++, proficiency with machine learning libraries, and familiarity with version control systems like Git are commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas clearly help set top candidates apart. These skills are crucial for developing robust, efficient solutions and collaborating effectively on challenging technical projects.

What does a Senior Algorithm Engineer do?

A Senior Algorithm Engineer is responsible for designing, developing, and optimizing complex algorithms that solve technical problems or enhance product performance. They often work with large datasets, machine learning models, or mathematical techniques to create efficient solutions. In addition to coding, they may collaborate with cross-functional teams, review the work of junior engineers, and help set the technical direction for algorithm development projects. Their expertise ensures that products and systems run efficiently and accurately.
What are the most commonly searched types of Algorithm Engineer jobs in Texas? The most popular types of Algorithm Engineer jobs in Texas are:
What cities in Texas are hiring for Senior Algorithm Engineer jobs? Cities in Texas with the most Senior Algorithm Engineer job openings:
Senior Algorithm Systems Engineer

Senior Algorithm Systems Engineer

Raytheon

Plano, TX • On-site

$100K - $137K/yr

Full-time

Re-posted 27 days ago


Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

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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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