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Algorithms Engineer Jobs in Dallas, TX (NOW HIRING)

Control System Engineer

Dallas, TX · On-site

$90K - $100K/yr

The role will focus on developing control algorithms, optimizing software in C programming, and conducting extensive laboratory work to analyze and improve power electronic hardware performance. The ...

Control System Engineer

Dallas, TX · On-site

$90K - $100K/yr

The role will focus on developing control algorithms, optimizing software in C programming, and conducting extensive laboratory work to analyze and improve power electronic hardware performance. The ...

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Responsibilities : • Develop machine learning models and algorithms to address business needs. • Collaborate with data scientists and software engineers to design and implement scalable and ...

Senior DevSecOps Engineer

Irving, TX · On-site

$109K - $150K/yr

This is not a traditional full-stack developer role. The right candidate should be able to build ... Scan applications, repositories, containers, dependencies, certificates, keys, crypto algorithms ...

Senior Systems Engineer - EO/IR

Plano, TX

$100K - $136K/yr

The Senior System Engineer will apply advanced knowledge of EO/IR sensors and mode performance to ... Performance analysis, algorithm development, algorithm analysis, trade study generation ...

FPGA Engineer

Fort Worth, TX · On-site

$124K - $160K/yr

S. Government Security Clearance FPGA Engineer The EndoSec FPGA Engineer is responsible for the ... cryptography algorithms using state-of-the-art FPGA hardware. Modeling and Simulation: Use ...

Showing results 41-60

Algorithms Engineer information

See Dallas, TX salary details

$52.9K

$129.9K

$191.4K

How much do algorithms engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for algorithms engineer in Dallas, TX is $129,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,300.00 and $145,900.00 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 skills and qualifications are needed to thrive as an algorithms engineer?

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 is an algorithms engineer?

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 Dallas, TX? For Algorithms Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Algorithms Engineer jobs in Dallas, TX look for? The top searched job categories for Algorithms Engineer jobs in Dallas, TX are:
Infographic showing various Algorithms Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $129,935 per year, or $62.5 per hour.

Senior Controls Engineer - Autonomous Vehicles

ISEE

Dallas, TX • On-site

$96K - $126K/yr

Full-time

Re-posted 15 days ago


Job description

ISEE is seeking a full-time Senior Controls Engineer to join our team. The ideal candidate has 5+ years of relevant work experience and a blend of mechatronics/robotics/and controls experience.
Role responsibilities include:
- Building and using models to simulate and test control algorithms, evaluating and verifying all aspects of dynamic behavior at both component and system level
- Conceiving test scenarios and coordinating with other teams to conduct extensive software testing and field testing on autonomous vehicles
- Develop metrics and intuitive tools to evaluate vehicle dynamics controller performance
- Participate in architecture strategy & algorithm design reviews
- Conduct root-cause investigations, data processing and analysis of results from simulations and vehicle testing
Qualifications
- Advanced Degree in Mechanical Engineering, Controls Engineering, Aerospace Engineering, Applied Mathematics, Electrical Engineering, Mechatronics, or similar technical discipline. (Masters and up preferred)
- Engineering background in feedback control theory: linear system analysis (time domain and frequency domain), stability analysis, frequency response, system identification, optimal control techniques
- HIL (Hardware-in-loop) testing and signal processing experience
- High proficiency in Embedded C programming
- Strong experience with MATLAB/Simulink, & Python programming
- Excellent communication skills
- Passionate about self-driving cars and robotics
- Previous start up experience required
Preferred
- Basic understanding, and intuition for physics of multi-body systems
- Experience with coordinating, interpreting, and improving control algorithm requirements
- Experience designing test framework to ensure control algorithm compliance with requirements
- Working in a formal development environment (i.e. ISO26262)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.