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Senior Algorithm Engineer Jobs in Florida (NOW HIRING)

Auria

Digital Signal Processing Algorithms Engineer

Tampa, FL · On-site

$150K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Review code and design documents from other engineers, mentor mid-level and senior team members, and establish rigorous standards for testing and algorithm verification. * Strategic Planning: Assess ...

Auria

Digital Signal Processing Algorithms Engineer

Tampa, FL

$150K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Review code and design documents from other engineers, mentor mid-level and senior team members, and establish rigorous standards for testing and algorithm verification. * Strategic Planning: Assess ...

Cummings Aerospace Inc

Senior Aerospace Engineer

Niceville, FL · On-site

$96K - $132K/yr

Overview The Sr. Aerospace Engineer position is a full-time exempt position. The individual will ... Software implementation of complex guidance, navigation, and controls algorithms. * Work with a ...

New

Kavaliro

Senior Digital Processing Engineer

Sarasota, FL · On-site

$130K - $140K/yr

Support the transition of algorithms into real-time, high-performance computing environments * Work independently on technical initiatives while also collaborating with small, highly skilled ...

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All JobsAlgorithm Engineer JobsSenior Algorithm Engineer JobsSenior Algorithm Engineer Jobs in Florida

Senior Algorithm Engineer information

See Florida salary details

$44.5K

$94.6K

$137.1K

How much do senior algorithm engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior algorithm engineer in Florida is $94,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $107,200.00 per year, depending on experience, location, and employer.

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 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 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 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 the most commonly searched types of Algorithm Engineer jobs in Florida?

The most popular types of Algorithm Engineer jobs in Florida are:

What cities in Florida are hiring for Senior Algorithm Engineer jobs?

Cities in Florida with the most Senior Algorithm Engineer job openings:

Senior Algorithm Engineer jobs near you
Infographic showing various Senior Algorithm Engineer job openings in Florida as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $94,575 per year, or $45.5 per hour.

Data Scientist (DTW Algorithm Engineer) at Northrop Grumman Melbourne, FL

Hong Kong Study Skills Research Institute

Melbourne, FL • On-site

$87.20 - $130.80/hr

Other

Medical, Life, PTO

Posted 8 days ago

Job description

Data Scientist (DTW Algorithm Engineer)
Location: Melbourne, FL.
Relocation assistance may be available.
Clearance Type: Secret.
Travel: Yes, 10% of the time.

Overview

This individual‑contributor role is part of the Model Based Test & Evaluation (MBTE) team in Northrop Grumman Aeronautics Systems. It focuses on advancing digital twin (DTW) strategies for software and hardware validation, regression testing, and airworthiness verification. The position opens at either staff or senior level and requires a final adjudicated Secret clearance.

Key Responsibilities
  • Assist in developing and implementing a Digital Engineering strategy that utilizes Digital Twin technology for validating software and hardware modifications, test regression, and airworthiness verification tests.
  • Assist in identifying and solving complex problems to showcase high‑fidelity, multi‑level vehicle performance virtually.
Basic Qualifications
  • Bachelor of Science in a Science, Technology, Engineering, or Mathematics (STEM) discipline with 2 years of relevant experience; OR Master of Science in a STEM discipline with 0 years of relevant experience.
  • Ability to obtain and/or transfer and maintain a final adjudicated Secret clearance (DoD must be in‑scope or enrolled in Continuous Evaluation) and any required program access within a reasonable period of time.
  • Familiarity with model uncertainty analysis, error modeling, and/or error propagation.
  • Knowledge of statistical software.
Preferred Qualifications
  • Knowledgeable in Python or MATLAB.
  • Practical experience with Modern C++ in an Agile development environment.
  • Familiarity with Design of Experiments (DOE) and design optimization techniques.
  • Published work on advanced algorithms or mathematics.
Salary & Benefits

Primary level salary range: $87,200.00 – $130,800.00. Additional compensation may include overtime, shift differential, discretionary bonuses, and potential long‑term incentives for senior positions. Benefits include health insurance, life and disability coverage, a savings plan, company‑paid holidays, and paid time off (PTO). U.S. citizenship is required for all positions with a government clearance.

EEO Statement

Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. U.S. citizenship is required for all positions with a government clearance.

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