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Coding Theory Jobs in Massachusetts (NOW HIRING)

Varsity Tutors

College Computer Science Tutor

Waltham, MA · Remote

$18 - $40/hr

... theory with implementation. Adapts instruction using coding exercises, whiteboard problem-solving practice, and project-based assignments to support undergraduate CS students from introductory ...

Varsity Tutors

College Computer Science Tutor

Lynn, MA · Remote

$18 - $40/hr

... theory with implementation. Adapts instruction using coding exercises, whiteboard problem-solving practice, and project-based assignments to support undergraduate CS students from introductory ...

Varsity Tutors

College Computer Science Tutor

Newton, MA · Remote

$18 - $40/hr

... theory with implementation. Adapts instruction using coding exercises, whiteboard problem-solving practice, and project-based assignments to support undergraduate CS students from introductory ...

Varsity Tutors

College Computer Science Tutor

Boston, MA · Remote

$18 - $40/hr

... theory with implementation. Adapts instruction using coding exercises, whiteboard problem-solving practice, and project-based assignments to support undergraduate CS students from introductory ...

Varsity Tutors

College Computer Science Tutor

Quincy, MA · Remote

$18 - $40/hr

... theory with implementation. Adapts instruction using coding exercises, whiteboard problem-solving practice, and project-based assignments to support undergraduate CS students from introductory ...

Varsity Tutors

College Computer Science Tutor

Lowell, MA · Remote

$18 - $40/hr

... theory with implementation. Adapts instruction using coding exercises, whiteboard problem-solving practice, and project-based assignments to support undergraduate CS students from introductory ...

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Coding Theory information

See Massachusetts salary details

$12

$37

$94

How much do coding theory jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for coding theory in Massachusetts is $37.70, according to ZipRecruiter salary data. Most workers in this role earn between $19.60 and $46.68 per hour, depending on experience, location, and employer.

What is coding theory?

Coding theory is a branch of mathematics and computer science that focuses on the design of error-correcting and error-detecting codes to ensure reliable transmission and storage of data. It involves creating algorithms and codes that can detect and correct errors in digital information, which is crucial for communication systems, data storage devices, and networks. Coding theory combines concepts from algebra, probability, and information theory to solve practical problems in digital communication and data integrity.

What are the key skills and qualifications needed to thrive as a coding theory engineer, and why are they important?

To excel as a Coding Theory Engineer, you need a strong background in mathematics, computer science, and algorithm design, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or C++), error-correcting code libraries, and mathematical tools like MATLAB is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for collaborating on complex projects and conveying technical concepts clearly. These abilities are crucial for developing robust data transmission systems and ensuring reliable information processing in industries such as telecommunications and data storage.

What is the difference between Coding Theory vs Data Scientist?

AspectCoding TheoryData Scientist
Required CredentialsDegree in Computer Science, Electrical Engineering, or Mathematics; often advanced degreesDegree in Statistics, Computer Science, or related fields; often advanced degrees
Work EnvironmentResearch labs, academia, tech companies focusing on communications and data integrityBusiness, tech firms, finance, healthcare analyzing data for insights
Industry UsageTelecommunications, data storage, error correctionBusiness analytics, machine learning, predictive modeling
Common Search/ComparisonYesYes

While Coding Theory focuses on designing algorithms for error detection and correction in data transmission, Data Scientists analyze large datasets to extract insights and build predictive models. Both roles require strong analytical skills and programming knowledge, but Coding Theory is more specialized in information theory and error correction, whereas Data Science emphasizes data analysis and machine learning applications.

What are some common challenges faced by professionals working in coding theory roles, and how can they be addressed?

Professionals in coding theory often encounter challenges such as staying current with rapidly evolving algorithms, bridging the gap between theoretical models and practical applications, and collaborating effectively with multidisciplinary teams. Addressing these challenges typically involves continuous learning through academic journals and conferences, hands-on experimentation with real-world data, and open communication with colleagues in fields like electrical engineering, computer science, and mathematics. Leveraging collaborative tools and participating in cross-functional meetings can also help ensure that solutions are both innovative and practically viable.
What are popular job titles related to Coding Theory jobs in Massachusetts? For Coding Theory jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Coding Theory jobs in Massachusetts look for? The top searched job categories for Coding Theory jobs in Massachusetts are:
Coding Theory jobs near you
Infographic showing various Coding Theory job openings in Massachusetts as of July 2026, with employment types broken down into 82% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $78,413 per year, or $37.7 per hour.

Principal Engineer, State Estimation (R4602)

Shield AI

Boston, MA

$270K - $400K/yr

Full-time

Re-posted 8 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
We are looking for an experienced state estimation engineer to design, develop, and support the deployment of safety-critical navigation solutions for aerospace platforms. This role requires deep expertise in state estimation theory, extensive practical experience implementing ownship navigation systems in the aerospace domain, and strong software development skills for production-quality navigation code. The engineer will design and implement a unified navigation architecture that supports traditional GNSS/IMU fusion while being extensible to all-source navigation strategies incorporating diverse sensing modalities for GPS-degraded and denied environments.
What you'll do:
Navigation System Architecture & Design:
  • Establish navigation performance requirements and error budgets for safety-critical applications 
  • Support decomposition of navigation requirements into allocations for sensors, estimation algorithms, and software components 
  • Design detailed software architecture for state estimation implementations, including module interfaces and data flow 
Algorithm Development & Implementation:
  • Design and implement Extended Kalman Filter algorithms for navigation applications, with broad understanding of state estimation theory and alternative filtering approaches 
  • Implement tightly-coupled and loosely-coupled GNSS/INS integration algorithms 
  • Integrate diverse sensing modalities (vision, RF, celestial etc.) into multi-sensor fusion framework for GPS-degraded environments 
  • Develop fault detection, isolation, and recovery (FDIR) strategies for navigation systems 
  • Implement integrity monitoring and protection level calculations for safety-critical operations 
Certification & Verification:
  • Develop verification and validation test plans for navigation algorithms 
  • onduct performance analysis including Monte Carlo simulation, covariance analysis, and flight test data evaluation 
  • Document navigation system design, requirements allocation, and compliance evidence 
  • Support safety assessment activities including failure modes and effects analysis 
Technical Leadership:
  • Provide technical guidance on navigation architecture and state estimation approaches 
  • Support trade studies evaluating navigation sensor suites and fusion strategies 
  • Mentor junior engineers on state estimation theory and implementation 
Required qualifications:
  • MS or PhD in Computer Science, Software Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Applied Mathematics, or related field 
    15+ years of experience developing state estimation algorithms for aerospace navigation applications 
  • Demonstrated experience implementing GNSS/INS integration solutions 
  • Experience with safety-critical system development and certification processes 
  • Deep understanding of state estimation theory 
  • Experience implementing multi-sensor fusion algorithms in production systems 
  • Strong background in inertial navigation, GNSS positioning, and sensor error modeling 
  • Strong programming skills in C/C++ and Python/MATLAB for algorithm development and analysis 
  • Understanding of integrity monitoring, protection levels, and safety assessment methods 
  • Experience with requirements management and verification/validation processes for certifiable systems 
  • Understanding of GPS/GNSS signal structure, error sources, and performance characteristics 
  • Knowledge of IMU error models, calibration, and Allan variance analysis 
  • Familiarity with alternative navigation sensors (camera, RF ranging, celestial, etc.) 
  • Understanding of navigation performance metrics (accuracy, integrity, continuity, availability)
  • Must be eligible to obtain a clearance
  • Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
  • PhD in relevant field with focus on state estimation or navigation 
  • Direct involvement in certified navigation system development from requirements through flight test 
  • Experience with specialized navigation approaches (vision-aided navigation, terrain-referenced navigation, celestial navigation, etc.) 
  • Publications or patents in navigation or state estimation 
  • Experience with GPS/GNSS jamming and spoofing mitigation techniques 
$270,000 - $400,000 a year
#LI-SM1
#LF

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
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.
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