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Algorithmic Engineer Jobs in Wisconsin (NOW HIRING)

Gehc

Staff Algorithm Engineer

Waukesha, WI · Hybrid

The engineer bridges clinical needs, scientific rigor, and production software engineering, translating research algorithms (often in Python) into highperformance, safetycritical C/C ...

GE HealthCare

Staff Algorithm Engineer

Waukesha, WI · On-site

The engineer bridges clinical needs, scientific rigor, and production software engineering, translating research algorithms (often in Python) into high-performance, safety-critical C/C ...

Generac

Firmware Engineer II

Waukesha, WI · On-site

Design of new control algorithms and performing Applications Engineering * Develop new firmware or software modules, and maintain supporting documentation * Create, design and develop test ...

EndoSec LLC

FPGA Engineer

Madison, WI · On-site

$131K - $168K/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 ...

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All JobsAlgorithmic Engineer JobsAlgorithmic Engineer Jobs in Wisconsin

Algorithmic Engineer information

See Wisconsin salary details

$60.1K

$112.7K

$204.9K

How much do algorithmic engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for algorithmic engineer in Wisconsin is $112,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior-level algorithmic engineers, especially those working in finance, technology, or specialized research roles, can earn $500,000 or more annually, often including bonuses and stock options. Achieving this level typically requires extensive experience, advanced skills in algorithms and programming, and working at top-tier companies or in high-demand industries.

What is the difference between Algorithmic Engineer vs Data Scientist?

AspectAlgorithmic EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related fields; programming skillsBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems; often in tech or finance industriesAnalyzes data to extract insights; works in tech, finance, healthcare, and more
Employer & Industry UsageTech companies, finance firms, R&D departmentsTech companies, consulting firms, research institutions

While both roles require strong programming and analytical skills, Algorithmic Engineers focus on designing and implementing algorithms for systems and applications, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in tech environments but serve different primary functions.

Which 5 jobs will survive AI?

Algorithmic engineers are likely to continue thriving as AI advances because they develop and optimize algorithms that underpin AI systems. Jobs requiring complex problem-solving, creativity, and human judgment—such as data scientists, AI ethicists, cybersecurity specialists, healthcare professionals, and software developers—are also expected to persist due to their reliance on nuanced understanding and adaptability beyond automation. These roles often involve skills in programming, critical thinking, and domain expertise that are less easily replaced by AI.

What does an algorithm engineer do?

An algorithm engineer designs, develops, and optimizes algorithms to solve complex problems and improve system performance. They often work with data structures, programming languages, and tools like Python or C++, and may focus on areas such as machine learning, data analysis, or software development. Their role involves analyzing requirements, testing algorithms, and ensuring efficiency in real-world applications.

What engineers make 300,000 a year?

Senior engineers in fields such as software, data engineering, and machine learning can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or in specialized roles. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and industry demand.
What are popular job titles related to Algorithmic Engineer jobs in Wisconsin? For Algorithmic Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Algorithmic Engineer jobs in Wisconsin look for? The top searched job categories for Algorithmic Engineer jobs in Wisconsin are:
Algorithmic Engineer jobs near you
Infographic showing various Algorithmic Engineer job openings in Wisconsin as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $112,676 per year, or $54.2 per hour.

Image Quality Algorithm Developer

Monvik Info Solutions LLC

Waukesha, WI • On-site

$60 - $65/hr

Temporary

Re-posted 16 days ago

Job description

Rate $60 - $65/hr.

Image Quality Algorithm Developer specializing in medical imaging systems with expertise in applying engineering principles and scientific methods to develop, evaluate, and optimize image quality algorithms for CT and X-ray imaging platforms. Experienced in designing advanced image processing and reconstruction algorithms to enhance diagnostic image quality and system performance.
Skilled in data acquisition, calibration, modeling, and simulation to improve imaging accuracy and reliability. Proficient in utilizing MATLAB, Python, and C++ for algorithm development, performance analysis, and validation using both real and simulated datasets. Strong understanding of X-ray and CT physics, image reconstruction techniques, and signal processing fundamentals to support innovative medical imaging solutions.
Collaborates effectively with cross-functional local and global teams to design, implement, and deploy algorithmic solutions for next-generation imaging technologies. Adept at conducting feasibility studies, performance evaluations, and technical analysis to support new product development and technology introduction. Committed to staying current with advancements in imaging science, data science, and algorithm development to drive.