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Algorithmic Engineer Jobs in Wisconsin (NOW HIRING)

$89K - $122K/yr

... and algorithmic decision making. Stronghold was founded by Ryan Turner in 2016 and has deployed ... This isn't a typical engineering role. You'll build the scalable, high-performance infrastructure ...

Software Engineer III

Wauwatosa, WI · Hybrid

$56 - $75/hr

Deploying control algorithms to embedded controllers (rapid prototyping and production ECU) from ... Developing engineering test standards * Acting as a liaison between other departments as necessary

New

Software Engineer III

Wauwatosa, WI · Hybrid

$56.50 - $76/hr

Deploying control algorithms to embedded controllers (rapid prototyping and production ECU) from ... Developing engineering test standards * Acting as a liaison between other departments as necessary

New

$80K - $90K/yr

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for ... algorithms, and system architecture. - Familiarity with modern software development tools ...

$80K - $90K/yr

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for ... algorithms, and system architecture. - Familiarity with modern software development tools ...

Showing results 41-60

Algorithmic Engineer information

See Wisconsin salary details

$60.1K

$112.7K

$204.9K

How much do algorithmic engineer jobs pay per year?

As of Sep 11, 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 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.

How much does an algorithmic engineer make?

The average salary for an algorithmic engineer varies by experience and location but typically ranges from $100,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $180,000. Compensation may also include bonuses and stock options depending on the company and industry.

What does an algorithmic engineer do?

An algorithmic engineer designs, develops, and optimizes algorithms to solve complex problems, often working with large datasets and programming languages like Python or C++. They analyze data patterns, improve system efficiency, and may use tools such as machine learning frameworks to create scalable solutions in fields like finance, tech, or research.

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:

Infographic showing various Algorithmic Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $112,676 per year, or $54.2 per hour.

$89K - $122K/yr

Other

Posted 23 days ago


Job description

Careers at Stronghold Investment Management

Software Engineer II

Location: Dallas, TX (On-site: 5 days in office)

The Firm: Data Driven and Real-Asset Focused

Stronghold Investment Management (“Stronghold,” “SIM,” or “the Firm”) is a technology-driven, vertically integrated investment manager focused on real-assets and related private markets. Stronghold seeks to deliver best-in-class risk‑adjusted returns through an investment framework that features comparatively rapid transaction velocity, deep technical expertise, creative financial structuring, and objective and algorithmic decision making.

Stronghold was founded by Ryan Turner in 2016 and has deployed over $1.6 billion in capital across 10+ investment vehicles. Ultimately, Stronghold intends to apply its technology‑intensive investment approach to a variety of specialist real assets verticals, including:

  • Oil & Gas
  • Renewables
  • Telecommunications and Technology Infrastructure
  • Billboards and Fixtures
  • Mining & other commodities
  • Utilities
Your Mission

We're seeking a Software Engineer II to join Stronghold's Tech Development team, where your backend and data systems work directly powers a technology-driven investment firm moving billions of dollars across real assets globally.

This isn't a typical engineering role. You'll build the scalable, high-performance infrastructure that gives Stronghold its edge: fast transaction velocity, algorithmic decision-making, and data systems that no traditional investment firm has. Working primarily within a Ruby on Rails ecosystem, you'll help develop and scale backend services powered by technologies including PostgreSQL, Kafka, Elasticsearch, Redis, and Microsoft Azure.

You'll work alongside senior engineers and cross-functional teams to shape architecture, drive performance, and own meaningful pieces of a stack that's genuinely differentiated in private markets.

This is a rare opportunity for a software engineer with 3–6 years of experience who's ready to go beyond feature work, someone who wants their technical decisions to matter, their contributions to be visible, and their career to accelerate inside a firm that moves fast, thinks deeply, and invests in its people.

Key Responsibilities –
  • Build the backbone. Design, develop, test, and maintain the APIs, backend services, and data workflows that power firm-wide operations, from transaction processing to investment analytics, primarily within a Ruby on Rails environment.
  • Scale what matters. Architect and optimize data‑intensive applications for performance, reliability, and efficiency, because at Stronghold, speed and accuracy aren't nice-to-haves, they're the business.
  • Shape the platform. Collaborate with senior engineers, product teams, front-end developers, and other cross-functional stakeholders on system architecture and long‑term technical design, contributing to decisions that will define how the firm operates for years.
  • Own the pipeline. Build and maintain automated and event‑driven data processing pipelines using technologies such as Kafka to keep information accurate, consistent, and moving, the kind of infrastructure the investment team depends on daily.
  • Write code that lasts.
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