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Computer Science Engineering Jobs in Wisconsin (NOW HIRING)

SynergisticIT

Java React Developer

Middleton, WI

$52.50 - $67.75/hr

Recent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the IT industry. We welcome candidates with all visas and citizens to apply. We assist ...

Accuray

Motion Control Engineer

Madison, WI

Bachelor's degree in computer science, Software Engineering, Data Science, Engineering Physics, Mechanical Engineering, Mechatronics, or a closely related technical field. * At least 4years of ...

INNIO

Augmented Reality Learning Developer

Waukesha, WI

$52.50 - $67.75/hr

Bachelor's degree in Computer Science, Engineering, Education, or related field; specialized training in Augmented Reality training development preferred. * Demonstrated experience in the training ...

Innio

Augmented Reality Learning Developer

Waukesha, WI · On-site

$52.50 - $67.75/hr

Bachelor's degree in Computer Science, Engineering, Education, or related field; specialized training in Augmented Reality training development preferred. * Demonstrated experience in the training ...

ATI

Data Scientist

Cudahy, WI · On-site

B.S. degree in computer science, engineering with a strong statistical and programming background. * Experience in deep learning, predictive modeling, data mining, and time series analysis.

Continuus Technologies LLC

Senior Data Engineer

Germantown, WI · On-site

$107K - $146K/yr

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) * 5+ years of experience in data engineering or related roles * Advanced SQL and strong proficiency in ...

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Computer Science Engineering information

See Wisconsin salary details

$49K

$122.7K

$138.8K

How much do computer science engineering jobs pay per year?

As of Jun 19, 2026, the average yearly pay for computer science engineering in Wisconsin is $122,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $132,700.00 per year, depending on experience, location, and employer.

What is Computer Science Engineering?

Computer Science Engineering (CSE) is a branch of engineering that integrates computer science and engineering principles to design, develop, and maintain software and hardware systems. CSE professionals work on a wide range of technologies, including programming, algorithms, computer networks, databases, artificial intelligence, and cybersecurity. The field prepares graduates for careers in software development, systems analysis, data science, and more. It is one of the most in-demand disciplines due to the increasing reliance on technology across industries.

What is the difference between Computer Science Engineering vs Software Developer?

AspectComputer Science EngineeringSoftware Developer
Required CredentialsBachelor's in Computer Science or related field; sometimes certificationsBachelor's in Computer Science, Software Engineering, or related; certifications optional
Work EnvironmentUniversities, research labs, tech companies, R&D centersTech companies, startups, freelance projects, corporate IT teams
Industry UsageAcademic, research, product development, software designApplication development, coding, testing, deployment
Common Search/ComparisonFocuses on theoretical and foundational knowledgeFocuses on practical coding and project implementation

Computer Science Engineering and Software Developer roles overlap in skills and industry usage, but differ mainly in focus. Computer Science Engineering emphasizes theoretical foundations and research, while Software Developers concentrate on coding and building applications. Both roles are vital in tech industries, with CS Engineering often leading to research or academic careers, and Software Developers working on practical software solutions.

Can computer engineers make $500,000?

Computer engineers can potentially earn $500,000 or more annually, especially in senior roles, management, or specialized fields like software architecture, data science, or cybersecurity. Achieving this level often requires extensive experience, advanced skills, and sometimes working in high-paying industries or locations, along with additional certifications or advanced degrees.

What careers can you do with computer engineering?

Computer engineering graduates can pursue careers as software developers, hardware engineers, systems analysts, network administrators, cybersecurity specialists, and embedded systems engineers. These roles often require knowledge of programming languages, hardware design, and networking, and may involve working in technology companies, manufacturing, or research environments.

What can a computer science engineer do?

A computer science engineer designs, develops, and maintains software systems, applications, and algorithms. They work with programming languages, data structures, and software development tools, often collaborating in teams and following engineering best practices. Their roles can include software development, system analysis, cybersecurity, and data management.

What engineers make $500,000?

Senior software engineers, especially those in high-demand fields like AI, machine learning, or cybersecurity, can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and working at large tech companies or startups with significant funding.

What are some common challenges faced by Computer Science Engineers in collaborative projects, and how can they be addressed?

Computer Science Engineers often work on multidisciplinary teams where communication gaps, differing technical backgrounds, and unclear project requirements can pose challenges. To address these, effective documentation, regular cross-functional meetings, and utilizing collaborative tools (like version control and project management platforms) are essential. Building strong communication skills and fostering a culture of open feedback help ensure everyone stays aligned and project goals are met efficiently.

What are the key skills and qualifications needed to thrive as a Computer Science Engineer, and why are they important?

To thrive as a Computer Science Engineer, you need strong programming skills, a solid grasp of algorithms, data structures, and systems design, typically backed by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, version control systems such as Git, and certifications like AWS Certified Solutions Architect or CompTIA Security+ are often valuable. Analytical thinking, problem-solving abilities, and effective teamwork are standout soft skills in this role. These competencies are essential for developing robust software solutions, adapting to emerging technologies, and collaborating efficiently in dynamic engineering environments.
What are popular job titles related to Computer Science Engineering jobs in Wisconsin? For Computer Science Engineering jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Computer Science Engineering jobs in Wisconsin look for? The top searched job categories for Computer Science Engineering jobs in Wisconsin are:
Computer Science Engineering jobs near you
AI Technical Project Lead/Engineer - SFL Scientific

AI Technical Project Lead/Engineer - SFL Scientific

Deloitte

Milwaukee, WI • On-site

Full-time

Posted 25 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Summary:
Deloitte is a leading consulting firm that helps clients navigate critical moments and transformational initiatives. They are seeking an experienced AI Technical Project Lead to manage AI and consulting initiatives, ensuring predictable delivery and effective communication with stakeholders throughout the project lifecycle.
Responsibilities:
• Collaborate with technical leaders on end-to-end delivery for AI/GenAI and data workstreams across one or more client engagements, managing scope, timeline, dependencies, budget and quality
• Responsible for overall coordination, status reporting, and stability of project-orientated work efforts within a program
• Translate business requirements into user stories, technical tasks and drive backlog hygiene (acceptance criteria, prioritization, sizing, and definition of done)
• Run standups, plan sprints and demos if required, retros to ensure teams are unblocked and delivering commitments
• Partner with architects, engineers, MLOps, and data science teams to validate feasibility, sequencing, and integration dependencies (e.g., LLM integration, RAG, evaluation, model deployment)
• Proactively manage RAID (risks, assumptions, issues, dependencies), change control, and release planning to maintain predictable delivery
• Drive and evaluate estimates by deliverable and work with project teams to optimize program-related deliverables, including critical path, related inter-project dependencies, risks and issues
• Create weekly leadership updates (status, key decisions, risks, mitigations, and asks) tailored to executive audiences
• Build and deliver clear, structure presentations that connect technical progress to outcomes, timelines, and tradeoffs
• Facilitate decision-making by surfacing options, impacts and recommendations-especially when scope, schedule, or technical constraints shift
• Partner with engagement leadership to prepare steering committees, QBRs, and milestone reviews (talk tracks, visuals, and pre-reads)
Qualifications:
Required:
• Bachelor's degree in business, STEM, or related field (e.g., Computer Science, Engineering, Data Science)
• 4+ years of experience managing technical delivery for data/analytics/AI initiatives in consulting or enterprise environments
• 4+ years of experience leading client-facing delivery, driving stakeholder communication across working teams through executive leadership
• 4+ years of experience working in Agile/Scrum or hybrid delivery models with measurable outcomes
• 4+ years of experience using delivery tools such as Jira and Confluence (plus Smartsheet, Asana, etc. as applicable), with strong experience managing technical tickets and reporting
• 4+ years of experience managing delivery governance, KPI reporting and/or budgets to ensure on-time, high-quality outcomes
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Live within commuting distance to one of Deloitte's consulting offices
• Limited immigration sponsorship may be available
Preferred:
• Master's degree in business, STEM, or related field (e.g., Computer Science, Engineering, Data Science)
• Excellent communication skills: ability to synthesize ambiguity into crisp narratives, decision points and slides
• Working knowledge of AI/ML and GenAI concepts (LLMs, prompt patterns, RAG, MLOps) and modern data platforms (cloud, pipelines)
• Strong technical fluency: comfortable challenging assumptions, clarifying requirements, and coordinating across engineering and data science teams
• Experience with change management and AI solution rollout/adoption across business functions
• Experience supporting pre-sales (estimating, scoping, workplans, RAID, and delivery approach)
Company:
Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Founded in 2008, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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