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Remote Materials Engineer Jobs in Madison, WI (NOW HIRING)

Urus Group LP

AI Engineer

Watertown, WI · On-site +1

VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications that use AI/ML models. This is a strategic, hands-on position for an experienced technical leader ...

NELNET BUSINESS SOLUTIONS

AI / ML Engineer

Madison, WI · Remote

Our AI / ML Engineer role sits at the center of that work: building, operating, and scaling the AI ... Nelnet believes in a hybrid work environment that accommodates both in-office and remote work. This ...

Alliantenergy

Engineer II - Grid Planning

Madison, WI · On-site +1

As an Engineer II on the Grid Planning team, you'll play a key role in defining where and how new generation resources like wind, solar, battery, and gas come online. From early-stage strategy ...

Atwell, LLC

Gas Distribution Designer

Madison, WI · On-site +1

Who We Are Atwell, LLC is a bold leader in the consulting, engineering, and construction services ... This position will be remote. Candidate must be in the Wisconsin market. Ideal areas include Green ...

EnsoData

User Experience (UX) Designer

Madison, WI · On-site +1

I'm Dylan, one of the engineering managers at EnsoData and we are looking for another great ... Communication: Ability to communicate in a remote environment that strives to be diverse and ...

SHINE Technologies LLC

Licensing Manager

Janesville, WI · On-site +1

$160K - $200K/yr

Hybrid or remote work arrangement will be considered. While our headquarters is located in ... Requirements * Bachelor's degree in engineering, scientific discipline, or related field, or ...

Wisconsin

Data Entry Operator

Madison, WI · On-site +1

$18/hr

This position does not involve coding or programming responsibilities. * This position has the ... It is anticipated that this position will be remote and requires work be performed at an offsite ...

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All JobsMaterials Engineer JobsRemote Materials Engineer JobsRemote Materials Engineer Jobs in Madison, WI

Remote Materials Engineer information

See Madison, WI salary details

$40.8K

$93.3K

$119.4K

How much do remote materials engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote materials engineer in Madison, WI is $93,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,600.00 and $103,300.00 per year, depending on experience, location, and employer.

Is it possible to work remotely as a remote materials engineer?

Remote materials engineers can work remotely, especially in roles involving data analysis, computer-aided design, and research that do not require physical presence. However, some tasks such as laboratory testing or site inspections may require on-site work, so remote work availability depends on the specific employer and job responsibilities.

What does a remote materials engineer do?

A Remote Materials Engineer is responsible for researching, developing, and testing materials used in a wide range of products, often working from a location outside the traditional office or laboratory setting. They use digital tools to collaborate with teams, analyze data, and provide recommendations about materials selection, performance, and sustainability. These engineers play a key role in product development by ensuring materials meet specific technical and safety standards, often working in industries like aerospace, automotive, construction, and manufacturing.

How does a remote materials engineer effectively collaborate with on-site teams during the development and testing of new materials?

Remote Materials Engineers typically use a combination of virtual meetings, collaborative design platforms, and regular status updates to stay closely aligned with on-site teams. They may review test data, analyze results, and provide recommendations using secure file-sharing tools and laboratory management software. Proactive communication and clear documentation are essential to ensure that lab procedures, testing protocols, and project milestones remain synchronized. This collaborative approach helps bridge physical distance and keeps the engineering process efficient and cohesive.

Is there a demand for remote materials engineers?

Remote materials engineers are in increasing demand as companies seek expertise in materials analysis, testing, and development across various industries. Skills in CAD software, laboratory techniques, and industry certifications can enhance job prospects in remote roles, which often require strong communication and project management abilities.

What are the key skills and qualifications needed to thrive as a remote materials engineer, and why are they important?

To thrive as a Remote Materials Engineer, you need a strong background in materials science, engineering principles, and problem-solving, typically supported by a relevant engineering degree. Proficiency with tools such as CAD software, materials testing systems, and simulation programs like ANSYS or COMSOL is usually required. Excellent communication, self-motivation, and time management are critical soft skills for collaborating with remote teams and managing independent projects. These skills and qualities ensure effective design, analysis, and innovation in material solutions while working efficiently from a remote setting.

What is the difference between Remote Materials Engineer vs Remote Mechanical Engineer?

AspectRemote Materials EngineerRemote Mechanical Engineer
Required CredentialsBachelor's in Materials Science or Engineering, certifications like ASM or NACEBachelor's in Mechanical Engineering, PE license often preferred
Work EnvironmentLaboratory, research facilities, or design offices (remote options available)Design, analysis, and testing environments, often remote or hybrid
Industry UsageManufacturing, aerospace, automotive, researchManufacturing, automotive, aerospace, product design
Search & Comparison IntentUnderstanding roles, qualifications, remote opportunitiesSimilar roles, qualifications, remote work options

Remote Materials Engineers focus on developing and testing materials for various industries, often requiring specialized certifications. Remote Mechanical Engineers design and analyze mechanical systems, with overlapping skills and remote work options. Both roles share similar credentials and industry usage, making them common comparison points for job seekers exploring remote engineering careers.

What are the most commonly searched types of Materials Engineer jobs in Madison, WI? The most popular types of Materials Engineer jobs in Madison, WI are:
What are popular job titles related to Remote Materials Engineer jobs in Madison, WI? For Remote Materials Engineer jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Remote Materials Engineer jobs in Madison, WI look for? The top searched job categories for Remote Materials Engineer jobs in Madison, WI are:
What cities near Madison, WI are hiring for Remote Materials Engineer jobs? Cities near Madison, WI with the most Remote Materials Engineer job openings:
Remote Materials Engineer jobs near you
Infographic showing various Remote Materials Engineer job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $93,346 per year, or $44.9 per hour.

AI Engineer

Urus Group LP

Watertown, WI • On-site, Remote

Full-time

Posted 15 days ago

Job description


VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications that use AI/ML models. This is a strategic, hands-on position for an experienced technical leader who has a track record of shipping AI-enhanced customer applications and tooling used by engineering teams.
This role will be focused on embedding LLMs, agent-based systems, and automation into core development workflows-boosting productivity, reducing manual toil, and accelerating delivery, essentially transforming how our engineers build, test, and ship software.
Responsibilities
  • Understand customer challenges and how integrating AI capabilities can help lead to solutions that have AI as a differentiator.
  • Identify opportunities to apply AI for efficiency, growth, and customer value.
  • Drive awareness of AI capabilities and demonstrate how it can address customer needs, improve efficiency, reduce costs, and drive growth.
  • Drive transformation from AI-Ad Hoc to AI-Native engineering practices.
  • Serve as the AI technical SME, conduct R&D (research and development) to meet the needs of our AI strategy.
  • Continuously assess emerging AI tools and make data-driven recommendations.
  • Measure & Accelerate Adoption: Establish KPIs, track progress from the current to 100% adoption, implement interventions to accelerate uptake and communicate impact.
  • Build Center of Excellence: Create forums for knowledge sharing, celebrate wins, and foster peer-to-peer learning.
  • Establish AI governance frameworks and guardrails covering compliance, security, privacy, and ethical AI practices, and embed them into development workflows.
  • LLM Agents & Prompt Engineering
    • Architect and implement LLM agents.
    • Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor).
    • Integrate vector databases and knowledge graphs to support retrieval-augmented generation (RAG).
    • Design and maintain high-quality prompt strategies for robustness and reliability.
  • Model Context Protocol (MCP) & Backend
    • Develop and maintain scalable APIs, supporting synchronous and asynchronous agent execution.
    • Integrate Model Context Protocol (MCP) to enable secure and structured access to external data and tools within agent workflows.
    • Implement state tracking, context-aware input dispatch, and modular plugin integration within the control plane.
  • Evaluation, Testing & Observability
    • Build unit and behavioral tests for agents, tools, and workflows.
    • Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
    • Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.
  • Model Fine-Tuning & MLOps
    • Integrate, deploy, fine tune and monitor models in production using cloud providers.
    • Set up agent logging, observability dashboards, and recovery workflows.
  • Front-end & User Experience
    • Collaborate with front-end developers or build user-facing components using React, TypeScript.
    • Ensure seamless user and agent interaction via UI and API bridges.

Education & Experience Requirements
  • Bachelor of Science in Software Engineering, Computer Science, Data Science, AI/ML or related field preferred.
  • 10+ years of experience in software development and design.
  • Proven experience in AI/ML solution design and hands experience with AI-powered development tools. 3+ years of experience preferred.
  • Strong knowledge of Large Language Models, Generative AI, NLP, and Machine Learning concepts. (3+ years of experience preferred).
  • Hands-on experience with deep learning frameworks.
  • Experience with RAG pipelines, vector databases, and agentic frameworks.
  • Familiarity with cloud-based AI services.

About Us
For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.
Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.
Whether near or far, large or small, VAS is at the heart of your dairy.
VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS. Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.

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