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Algorithm Design Jobs (NOW HIRING)

Dexcom

Senior Algorithm Engineer - Sensing Algorithms

$107K - $146K/yr

Design and implement signal processing, estimation, calibration, detection, and predictive algorithms. * Apply statistical modeling, machine learning, and data analytics techniques to extract ...

Rylo

Algorithm Engineer

San Francisco, CA · On-site

Design and implement novel computational photography algorithms. * Work closely with the hardware team to design new camera products. * Transfer technology to product groups and see your ideas ...

Rylo

Algorithm Engineer

San Francisco, CA · On-site

Design and implement novel computational photography algorithms. * Work closely with the hardware team to design new camera products. * Transfer technology to product groups and see your ideas ...

Roguebeam

Sr DSP / RTL Engineer

Seattle, WA · On-site

$154K/yr

You'll work end-to-end: algorithm design and modeling, fixed-point conversion, RTL coding and synthesis, timing closure, and lab validation. The decisions you make will directly shape system ...

Masimo

Principal Engineer, Algorithm - ECG

Irvine, CA · On-site

$170K - $215K/yr

Lead the design and development of advanced ECG signal processing algorithms, including filtering, feature extraction, waveform delineation, and rhythm classification * Architect scalable algorithm ...

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Algorithm Design information

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$29.5K

$110.9K

$172.5K

How much do algorithm design jobs pay per year?

As of Sep 11, 2026, the average yearly pay for algorithm design in the United States is $110,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $129,000.00 per year, depending on experience, location, and employer.

What is algorithm design?

Algorithm design is the process of creating step-by-step solutions to computational problems. It involves defining a clear set of instructions that a computer can follow to achieve a specific goal, such as sorting data or searching for information. Good algorithm design focuses on efficiency, correctness, and scalability, ensuring that the solution works well for different inputs and sizes. This field is fundamental in computer science and underpins many areas of software development and engineering.

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

To excel in Algorithm Design, you need a deep understanding of data structures, computational complexity, and strong mathematical and programming foundations, often supported by a degree in computer science or a related field. Familiarity with programming languages like Python, C++, or Java, and tools such as algorithm analysis frameworks and version control systems, is typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for this role. These capabilities are vital for developing efficient, scalable solutions and effectively collaborating with development teams to solve complex computational problems.

What are some common challenges faced by professionals in algorithm design roles, and how can they be addressed?

Professionals in algorithm design often encounter challenges such as optimizing for both efficiency and accuracy, handling large or complex datasets, and ensuring solutions are scalable. Collaboration with software engineers, data scientists, and domain experts is crucial to validate approaches and integrate algorithms effectively into products. Staying updated with the latest research and continuously refining problem-solving skills can help address these challenges and contribute to innovative, robust solutions.

What is the difference between Algorithm Design vs Data Scientist?

AspectAlgorithm DesignData Scientist
Required CredentialsComputer Science degree, programming skillsStatistics, data analysis, programming
Work EnvironmentSoftware development, research teamsData analysis, business insights teams
Industry UsageTech, software, AI developmentFinance, marketing, healthcare
Common Search/ComparisonFocus on creating algorithmsFocus on data analysis and interpretation

Algorithm Design involves creating efficient algorithms to solve computational problems, often requiring strong programming and computer science skills. Data Scientists analyze and interpret complex data to inform business decisions, combining statistical knowledge with programming. While both roles require technical skills, Algorithm Design is more focused on developing algorithms, whereas Data Scientists focus on extracting insights from data.

How to get better at algorithm design?

To improve at algorithm design, focus on studying fundamental algorithms and data structures, practicing problem-solving on platforms like LeetCode or Codeforces, and analyzing algorithm efficiency. Developing a strong understanding of computational complexity and regularly challenging yourself with complex problems enhances skills relevant to algorithm design roles.
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Algorithm Design jobs near you
Infographic showing various Algorithm Design job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $110,868 per year, or $53.3 per hour.

SLD Algorithm Engineer Lead

Huntsville, AL • On-site

Davis Strategic Innovations Inc.
Guided Missile and Space Vehicle Manufacturing • 51 - 200 employees
Learn more about Davis Strategic Innovations Inc.external

$101K - $133K/yr

Full-time

Posted 21 days ago

Key responsibilities

  • Design, develop, analyze, and implement mathematical algorithms supporting real-time tracking, data fusion, sensor discrimination, and classification.

  • Develop algorithm prototypes in MATLAB and/or Python, and oversee their transition into Java-based tactical software.

  • Participate in software design reviews, testing, verification activities, and collaborate with cross-disciplinary teams to support system performance and integration.

Job description

Job Description SLD Algorithm Engineer - Tracking Location: Huntsville, AL Clearance: Active DoD Secret Experience: 7+ years Certification: No IAT certification required. Security+ is preferred. Position Overview We are seeking an experienced Algorithm Engineer to support the development of a complex defense command-and-control system.

This position will lead the design, development, analysis, and implementation of mathematical algorithms supporting real-time tracking and sensor discrimination. The engineer will develop algorithm prototypes in MATLAB and/or Python and help transition those algorithms into Java-based tactical software. Responsibilities Design and develop complex mathematical algorithms supporting tracking, data fusion, sensor discrimination, classification, signal processing, and related mission functions.

Develop algorithm concepts, prototypes, whitepapers, design documentation, and other technical artifacts. Implement or oversee the implementation of algorithms in Java-based, real-time tactical systems. Develop MATLAB and/or Python prototypes before transitioning algorithms into tactical Java software.

Participate in software design reviews, code reviews, integration, testing, and verification activities. Analyze algorithm and system performance, investigate unexpected behavior, identify root causes, and recommend solutions. Develop automated unit tests and verify software against established requirements.

Review systems engineering artifacts, including interface control documents, use cases, and sequence diagrams. Present algorithm designs, software approaches, and test results to internal and external stakeholders. Participate in Agile planning, work decomposition, sprint planning, and execution.

Collaborate with systems engineering, integration and test, deployment, and operational support teams. Required Qualifications Active DoD Secret clearance. At least 7 years of experience designing and developing complex mathematical algorithms.

Experience in one or more of the following areas: Data fusion Tracking and correlation Transferable belief models Signal or radar signal processing Sensor discrimination or classification Kalman filtering Experience developing algorithm prototypes and transitioning them into real-time software implementations. Experience implementing mathematical algorithms in Java or overseeing their implementation. Experience with MATLAB and/or Python.

Experience analyzing, testing, and verifying algorithm design and performance. Experience supporting the full software development lifecycle. Strong problem-solving skills, including the ability to analyze system behavior, determine root causes, and recommend corrective actions.

Strong written and verbal communication skills. Ability to work independently and collaborate across multidisciplinary teams in a dynamic environment. Preferred Qualifications Missile defense tracking or sensor discrimination experience.

Experience developing algorithms for data fusion, tracking, correlation, guidance, battle management, or radar management. Experience developing Java-based military or command-and-control applications. Experience working within the missile defense domain.

Experience with Agile software development, sprint planning, and technical leadership. Experience developing software within a DevSecOps environment. Experience developing Java applications on Unix or Linux platforms.

Experience with Git, GitLab, Eclipse, Maven, Gradle, SonarQube, or similar tools. Experience developing automated unit tests and verifying requirements. Experience with software integration and system-level testing.

Security+ certification.

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