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Climate Modeling Jobs in Minnesota (NOW HIRING)

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Climate Modeling information

What are the key skills and qualifications needed to thrive in the Climate Modeling position, and why are they important?

To thrive in Climate Modeling, you generally need a strong background in atmospheric or environmental science, mathematics, and computer programming, often supported by an advanced degree in a related field. Familiarity with programming languages such as Python, R, or Fortran, as well as experience using climate modeling software like WRF or CESM, is highly valuable. Strong analytical thinking, problem-solving, and effective collaboration and communication skills set candidates apart. These skills are critical because the role involves translating complex scientific data into actionable insights for research, policy, and industry decision-making.

Do climatologists make good money?

Climatologists, as specialized scientists studying climate systems, typically earn salaries that are competitive within the scientific research field, with median annual wages around $80,000 to $100,000 depending on experience, education, and location. Advanced roles in government agencies, research institutions, or private industry can offer higher compensation, especially for those with specialized skills in data analysis and modeling tools. Job prospects often depend on research funding and demand for climate-related expertise.

What is a Climate Modeling job?

A Climate Modeling job involves using computer simulations to study and predict climate patterns and changes over time. Professionals in this field develop models that analyze factors like atmospheric composition, ocean currents, and greenhouse gas emissions to assess future climate scenarios. These models help scientists, policymakers, and organizations make informed decisions about climate change mitigation and adaptation strategies. Climate modelers often work in research institutions, government agencies, or environmental organizations, requiring expertise in atmospheric science, mathematics, and programming.

What are the typical collaboration opportunities or interdisciplinary interactions for a Climate Modeling professional?

Professionals in Climate Modeling frequently collaborate with other scientists, engineers, and policy analysts to assess environmental impact, develop models, and interpret data. Teamwork is common, often involving regular meetings with meteorologists, data scientists, and stakeholders from government, academia, or private industry. These interdisciplinary interactions enrich the modeling process by integrating various perspectives and expertise, helping ensure accurate and practical climate solutions. Such collaboration is essential for translating technical findings into applications that inform climate strategies and decision-making.

How to do climate modeling?

Climate modeling involves developing computational simulations of the Earth's climate system using specialized software and data analysis skills. Climate modelers typically work with programming languages like Python or Fortran, utilize climate data sets, and understand atmospheric, oceanic, and land processes to predict future climate scenarios.

What is a climate modeler?

A climate modeler is a scientist who develops and uses computer models to simulate Earth's climate systems and predict future climate changes. They typically work with programming languages, climate data, and modeling software, often requiring a background in atmospheric science, environmental science, or related fields.

What degree do you need to be a climate change analyst?

A climate change analyst typically needs at least a bachelor's degree in environmental science, climate science, meteorology, or a related field. Advanced positions may require a master's degree or higher, along with skills in data analysis, modeling, and familiarity with climate tools and software.
What are popular job titles related to Climate Modeling jobs in Minnesota? For Climate Modeling jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Climate Modeling jobs in Minnesota look for? The top searched job categories for Climate Modeling jobs in Minnesota are:
Climate Modeling jobs near you
Infographic showing various Climate Modeling job openings in Minnesota as of June 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 91% In-person, 4% Hybrid, and 5% Remote job distribution.
Software Architect, AI

Software Architect, AI

Niron Magnetics, Inc.

Minneapolis, MN • On-site

Full-time

Posted 19 days ago

Job description

Job Summary:
Niron Magnetics is commercializing a breakthrough magnetic material and is seeking a Software Architect, AI to define and evolve the technical architecture for AI-driven systems across various operations. The role involves setting architectural direction, enabling scalable AI solutions, and collaborating cross-functionally to ensure impactful AI capabilities.
Responsibilities:
• Design and own the end‑to‑end architecture for AI and machine learning systems across data ingestion, model development, deployment, and monitoring.
• Establish architectural patterns and standards for scalable, secure, and maintainable AI platforms.
• Ensure AI systems integrate effectively with manufacturing systems (e.g., MES, ERP), laboratory tools, and enterprise software.
• Partner with Manufacturing, R&D, Quality, and Operations teams to identify high‑value AI use cases (e.g., process optimization, quality prediction, anomaly detection).
• Translate business and technical requirements into robust AI system designs.
• Guide model lifecycle management, including experimentation, deployment, retraining, and performance monitoring.
• Act as a technical authority and advisor on AI architecture, best practices, and trade‑offs.
• Review designs, mentor engineers and data scientists, and raise the technical bar across teams.
• Support build‑vs‑buy decisions and evaluate vendors, tools, and platforms.
• Work closely with software, data, and infrastructure teams to ensure architectural alignment and execution.
• Partner with IT and Security to ensure AI systems meet reliability, security, and compliance standards.
• Communicate complex technical concepts clearly to non‑technical stakeholders.
Qualifications:
Required:
• 10+ years of experience in software engineering, data platforms, or AI/ML systems, with demonstrated architectural ownership.
• In-depth experience building applications on top of large language models (OpenAI, Anthropic, open-weight models, or comparable) — including prompt design, function/tool calling, structured outputs, RAG architectures, and agent frameworks.
• Demonstrated experience integrating software with enterprise systems via REST, GraphQL, message queues, webhooks, and ETL pipelines.
• Solid grounding in cloud architecture (Azure preferred), containerization (Docker), and at least one orchestration approach (Kubernetes and/or serverless preferred).
• Demonstrated skills in Python, Rust, and R.
• Strong understanding of modern AI/ML frameworks, data pipelines, cloud-native architectures, and MLOps concepts.
• Ability to balance near-term delivery with long-term architectural vision.
• Excellent communication skills and comfort influencing without authority.
• Strong problem-solving skills and comfort operating in ambiguous, early-stage environments.
Preferred:
• Experience integrating AI systems with operational or industrial environments.
• Experience in manufacturing, industrial, or deep-tech environments.
• Advanced degree in Computer Science, Engineering, Data Science, or a related field.
• Experience with edge AI, time-series data, or physics-informed ML.
• Passion for clean tech, sustainable materials, or climate-positive innovation.
Company:
Niron Magnetics is reshaping American manufacturing. Founded in 2014, the company is headquartered in Minneapolis, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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