First Solar

3 weeks ago

Development Engineer (AI-Augmented Scientific Modeling)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Develop and apply machine learning, generative AI, and physics-informed models to accelerate scientific understanding and R&D decision-making. Build AI-assisted analytical workflows, surrogate models, and decision-support tools that translate physical hypotheses and experimental observations into practical engineering insight. Implement reusable scientific software in programming languages, calibrate and validate models using experimental data, and collaborate with technical teams to strengthen scientific learning cycles. Communicate assumptions, uncertainty, and results to diverse audiences.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop and apply machine learning, generative AI, and physics-informed modeling to explore structure–property–performance relationships and accelerate understanding of material systems.
•Evaluate and apply AI-assisted tools and emerging computational methods to improve scientific productivity, model development, and simulation workflows.
•Translate physical hypotheses, experimental observations, and engineering questions into models, surrogate models, decision-support tools, and AI-enhanced analytical workflows for R&D decision-making.
•Implement scientific models and analysis workflows as reusable computational tools with robustness, efficiency, documentation, and reproducibility.
•Use experimental data for model calibration, parameter estimation, uncertainty assessment, sensitivity analysis, and validation; communicate assumptions and results to specialist and non-specialist audiences.

Travel: Low travel

Pay and Benefits

Salary: USD 80,700 - 135,000 annually

Key Requirements

•Bachelor’s degree with 10 years’ experience, Master’s degree with 8 years’ experience, or Ph.D. (strongly preferred) with 5 years’ experience in Engineering or a related technical field.
•Relevant experience applying computational, physical, statistical, data-driven, or AI-enabled methods to scientific or engineering challenges.
•Experience using modern AI tools and integrating AI-assisted methods into scientific, engineering, or research workflows to accelerate modeling, simulation, software development, or data analysis.
•Demonstrated ability to independently learn new scientific, computational, or analytical methods and apply them to unfamiliar technical problems.
•Strong written and verbal English communication skills for effective cross-functional technical teamwork.

Experience:2-10 yearsScientific modelingAI-enabled researchEngineering R&DMaterials sciencePhotovoltaicsComputational science

Education:Bachelor's

Skills:CommunicationCross-functional collaborationIndependent learningProblem-solvingScientific curiosity

Languages:English

Tech Stack:Machine learningGenerative AIPhysics-informed modelingSurrogate modelingSimulation accelerationUncertainty assessmentOptimizationModel calibrationPythonJuliaC++MATLABC#Data analysisScientific software

Company Brief

First Solar

Manufactures and sells solar modules and provides utility-scale photovoltaic power plant solutions. It is one of the world’s largest solar technology companies, focused on thin-film solar panel production and large-scale renewable energy deployment.

Industry: Solar Energy

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Tempe, United States

Founded: 1999

Website LinkedIn

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First Solar

3 weeks ago

Development Engineer (AI-Augmented Scientific Modeling)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop and apply machine learning, generative AI, and physics-informed modeling to explore structure–property–performance relationships and accelerate understanding of material systems.
•Evaluate and apply AI-assisted tools and emerging computational methods to improve scientific productivity, model development, and simulation workflows.
•Translate physical hypotheses, experimental observations, and engineering questions into models, surrogate models, decision-support tools, and AI-enhanced analytical workflows for R&D decision-making.
•Implement scientific models and analysis workflows as reusable computational tools with robustness, efficiency, documentation, and reproducibility.
•Use experimental data for model calibration, parameter estimation, uncertainty assessment, sensitivity analysis, and validation; communicate assumptions and results to specialist and non-specialist audiences.

Travel: Low travel

Pay and Benefits

Salary: USD 80,700 - 135,000 annually

Key Requirements

•Bachelor’s degree with 10 years’ experience, Master’s degree with 8 years’ experience, or Ph.D. (strongly preferred) with 5 years’ experience in Engineering or a related technical field.
•Relevant experience applying computational, physical, statistical, data-driven, or AI-enabled methods to scientific or engineering challenges.
•Experience using modern AI tools and integrating AI-assisted methods into scientific, engineering, or research workflows to accelerate modeling, simulation, software development, or data analysis.
•Demonstrated ability to independently learn new scientific, computational, or analytical methods and apply them to unfamiliar technical problems.
•Strong written and verbal English communication skills for effective cross-functional technical teamwork.

Experience:2-10 yearsScientific modelingAI-enabled researchEngineering R&DMaterials sciencePhotovoltaicsComputational science

Education:Bachelor's

Skills:CommunicationCross-functional collaborationIndependent learningProblem-solvingScientific curiosity

Languages:English

Company Brief

First Solar

Industry: Solar Energy

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Tempe, United States

Founded: 1999

Website LinkedIn