Intel

1 week ago

Software Development Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: Just nowStatus: Live

Job Summary

Apply AI/Bigdata to transform manufacturing data into actionable insights that address factory yield and process engineering problems. Build data analytics tools, algorithms, and methodologies for engineers across Manufacturing, leveraging predictive modeling, machine learning, and time-series techniques. Work in an on-site environment with strong communication skills, delivering results across multiple projects in a fast-paced, agile setting.

Location: Chengdu

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Graduate level

Key Responsibilities

•Apply AI/Bigdata technology to translate manufacturing data into meaningful insights for factory yield and process engineering problems.
•Deliver data analytics tools, algorithms, and methodologies for engineers across Manufacturing.
•Develop and use approaches such as predictive modeling, pattern recognition/machine learning, and anomaly detection to analyze data.
•Collaborate with engineers and stakeholders to solve problems and communicate results effectively.
•Deliver results across multiple projects in a fast-paced, agile environment.

Key Requirements

•Hold at least a Master’s degree in Statistics, Machine Learning, Computer Science, or a relevant discipline.
•Use data analysis techniques such as predictive modeling, pattern recognition/machine learning, clustering, dimensionality reduction, anomaly detection, and time series analysis.
•Have data programming/scripting experience (e.g., Python, R, JMP) and familiarity with common packages like NumPy/Pandas, Scikit-learn, TensorFlow, and PyTorch.
•Work effectively as a team with strong communication, presentation, and time-management skills.
•Demonstrate technical problem-solving and the ability to quickly digest complex problems.

Experience:ManufacturingSemiconductor

Education:Master's in Statistics, Machine learning, Computer Science

Skills:CommunicationPresentationTime managementProblem-solvingInterpersonal communication

Tech Stack:PythonRJMPNumPyPandasScikit-learnTensorFlowPyTorchSQLHadoopSpark

Company Brief

Intel

Designs and manufactures semiconductor chips, processors, and related hardware for PCs, data centers, networking, and embedded applications, while providing software and services to accelerate computing across industries globally.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1968

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Intel

1 week ago

Software Development Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: Just nowStatus: Live

Job Summary

Location: Chengdu

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Graduate level

Key Responsibilities

•Apply AI/Bigdata technology to translate manufacturing data into meaningful insights for factory yield and process engineering problems.
•Deliver data analytics tools, algorithms, and methodologies for engineers across Manufacturing.
•Develop and use approaches such as predictive modeling, pattern recognition/machine learning, and anomaly detection to analyze data.
•Collaborate with engineers and stakeholders to solve problems and communicate results effectively.
•Deliver results across multiple projects in a fast-paced, agile environment.

Key Requirements

•Hold at least a Master’s degree in Statistics, Machine Learning, Computer Science, or a relevant discipline.
•Use data analysis techniques such as predictive modeling, pattern recognition/machine learning, clustering, dimensionality reduction, anomaly detection, and time series analysis.
•Have data programming/scripting experience (e.g., Python, R, JMP) and familiarity with common packages like NumPy/Pandas, Scikit-learn, TensorFlow, and PyTorch.
•Work effectively as a team with strong communication, presentation, and time-management skills.
•Demonstrate technical problem-solving and the ability to quickly digest complex problems.

Experience:ManufacturingSemiconductor

Education:Master's in Statistics, Machine learning, Computer Science

Skills:CommunicationPresentationTime managementProblem-solvingInterpersonal communication

Tech Stack:PythonRJMPNumPyPandasScikit-learnTensorFlowPyTorchSQLHadoopSpark

Company Brief

Intel

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1968

Glassdoor: 3.8

Website LinkedIn Glassdoor