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Algorithm Engineer Jobs in Florida (NOW HIRING)

Vantor

Software Engineer (TS/SCI)

Melbourne, FL · On-site

Convert algorithm definitions and prototypes into robust software applications that run efficiently ... Apply software engineering standards and development processes to produce high-quality software ...

Maxar

Software Engineer (TS/SCI)

Melbourne, FL · On-site

Convert algorithm definitions and prototypes into robust software applications that run efficiently ... Apply software engineering standards and development processes to produce high-quality software ...

The Josef Group

DSP Engineer

Sarasota, FL · On-site

$137K - $160K/yr

Perform RF signal and data analysis, reverse engineering, simulation and modeling ... Implement new algorithms in C/C++ and Python. Support transition of algorithms to real-time, high ...

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 ...

ENSCO, Inc.

Machine Learning Engineer

Melbourne, FL · On-site

Assess algorithm performance of features by building datasets and designing and executing well ... Provide mentorship to junior ML engineers. A self-starter with excellent oral and written ...

Pivotal

Autonomy Engineer II - Robotics

Miami, FL · On-site

$80 - $100/hr

We are seeking an Autonomy Robotics Engineer to design, develop, and deploy navigation, planning ... Implement autonomy algorithms in real-time embedded and Linux-based environments. * Optimize ...

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Algorithm Engineer information

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How much do algorithm engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for algorithm engineer in Florida is $83,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,200.00 and $99,000.00 per year, depending on experience, location, and employer.

What does an algorithm engineer do?

An Algorithm Engineer designs, develops, and optimizes algorithms to solve complex computational problems. They analyze data, improve system performance, and implement mathematical models for various applications, such as machine learning, computer vision, and optimization. This role requires proficiency in programming languages like Python or C++, strong mathematical skills, and an understanding of data structures and algorithms. Algorithm Engineers work closely with software developers, data scientists, and researchers to integrate efficient solutions into real-world systems.

What are the key skills and qualifications needed to thrive as an algorithm engineer?

To thrive as an Algorithm Engineer, you need a strong background in mathematics, computer science, and programming, usually demonstrated with a degree in these fields and experience in algorithm design and analysis. Familiarity with languages like Python, C++, or Java, and tools such as MATLAB or TensorFlow, as well as relevant certifications like those in data science or machine learning, are typically advantageous. Outstanding problem-solving abilities, analytical thinking, and effective communication are critical soft skills for success in this role. These competencies are crucial because they enable Algorithm Engineers to design efficient, innovative solutions and collaborate seamlessly with multidisciplinary teams.

What are the typical challenges an algorithm engineer faces in their day-to-day work?

Algorithm Engineers often encounter complex problems that require creative, efficient solutions within strict performance or resource constraints. They may need to optimize existing algorithms, develop new ones from scratch, and ensure seamless integration into larger software systems, often while balancing accuracy, speed, and scalability. Collaborating with other engineers, data scientists, and product teams to align technical efforts with business goals is also a regular part of the job. Staying updated with the latest advancements in algorithms and technology is essential, making continuous learning a key aspect of the role.

How much does an algorithm engineer make?

The average salary for an algorithm engineer varies by experience and location but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning or data analysis can earn higher salaries, especially in tech hubs. Compensation often includes benefits such as bonuses and stock options.

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 are popular job titles related to Algorithm Engineer jobs in Florida?

For Algorithm Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Algorithm Engineer jobs in Florida look for?

The top searched job categories for Algorithm Engineer jobs in Florida are:

What cities in Florida are hiring for Algorithm Engineer jobs?

Cities in Florida with the most Algorithm Engineer job openings:

What are popular job titles related to Algorithm Engineer jobs in FL?

For Algorithm Engineer jobs in FL, the most frequently searched job titles are:

Algorithm Engineer jobs near you
Infographic showing various Algorithm Engineer job openings in Florida as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $83,421 per year, or $40.1 per hour.

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

Melbourne, FL • On-site

Hong Kong Study Skills Research Institute
See more jobs at Hong Kong Study Skills Research Instituteexternal

$87.20 - $130.80/hr

Other

Medical, Life, PTO

Posted 13 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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