Software Research Engineer/Scientist

1 Month ago • 3 Years +

Job Summary

Job Description

The Software Research Engineer/Scientist will join the Logic Technology Development team as a TD AI and Analytics Engineer. This role involves designing, executing, and analyzing experiments in a cutting-edge cleanroom facility. Responsibilities include developing software and data engineering solutions for AI/ML products, enhancing ML platforms, building data pipelines, and collaborating with various teams to streamline solution development. The engineer will also manage factory big data interaction with cloud environments.
Must have:
  • 3+ years experience in data engineering/software development.
  • Knowledge in Spark, NiFi, Hadoop, HBase, S3, Kubernetes, REST APIs
  • Intermediate to advanced English proficiency (verbal and written).
Good to have:
  • 2+ years in data analytics and machine learning (Python, R).
  • 2+ years in a technical leadership role.
  • Working knowledge with CI/CD and proficiency with GitHub.
  • Prior interaction with factory automation systems.
Perks:
  • Comprehensive benefits package including medical plans.
  • Wellness programs, recreational activities, and generous time off.
  • Discounts on various products and services.

Job Details

Job Details:

Job Description: 

About the Role:
Join our innovative and inclusive Logic Technology Development team as a TD AI and Analytics Engineer, where diverse talents come together to push the boundaries of semiconductor technology.

You will have the opportunity to work in one of the world's most advanced cleanroom facilities, designing, executing, and analyzing experiments to meet engineering specifications for our cutting-edge processes. This role offers a unique chance to learn and operate a manufacturing line, integrating the many individual steps necessary for the production of complex microprocessors.
 

What We Offer:
We are dedicated to creating a collaborative, supportive, and exciting environment where diverse perspectives drive exceptional results. At Intel, you will have the opportunity to transform technology and contribute to a better future by delivering innovative products. Learn more about Intel Corporation's Core Values here.
Benefits:
We offer a comprehensive benefits package designed to support a healthy and fulfilling life. This includes excellent medical plans, wellness programs, recreational activities, generous time off, discounts on various products and services, and many more creative rewards that make Intel a great place to work. Discover more about our amazing benefits here.


About the Logic Technology Development (LTD) TD Intel Foundry AI and Analytics Innovation Organization:
Intel Foundry TD's AI and Analytics Innovation office is committed to providing a competitive advantage through End-to-End AI and Analytics Solutions, driving Intel's ambitious IDM2.0 goals. Our team is seeking an engineer with a background in Data Engineering, Software Engineering, or Data Science to support and develop modern AI/ML solutions. Explore what life is like inside Intel here.
 

Key Responsibilities:
As an Engineer in the TD AI office, you will collaborate with Intel's factory automation organization and Foundry TD's functional areas to support and develop modern AI/ML solutions. Your primary responsibilities will include.

  • Developing software and data engineering solutions for in-house AI/ML products.
  • Enhancing existing ML platforms and devising MLOps capabilities.
  • Understanding existing data structures in factory automation systems and building data pipelines connecting different systems. Testing and supporting full-stack big data engineering systems.
  • Developing data ingestion pipelines, data access APIs, and services, monitoring and maintaining deployment environments and platforms, creating technical documentation, and collaborating with peers/engineering teams to streamline solution development, validation, and deployment.
  •  Managing factory big data interaction with cloud environments, ORACLE, SQL, Python, Software architecture, and MLOps.
  • Interfacing with process and integration functional area analytics teams and customers using advanced automated process control systems.

Qualifications:

Minimum Qualifications:

Master's or PhD degree in Computer Science, Computer Engineering, or a related Science/Engineering discipline.

  • 3+ years of experience in data engineering/software development and knowledge in Spark, NiFi, Hadoop, HBase, S3 object storage, Kubernetes, REST APIs, and services.
  • Intermediate to advanced English proficiency (both verbal and written).
    Preferred Qualifications:
  • 2+ years in data analytics and machine learning (Python, R, JMP, etc.) and relational databases (SQL).
  • 2+ years in a technical leadership role.
  • 3+ months of working knowledge with CI/CD (Continuous Integration/Continuous Deployment) and proficiency with GitHub and GitHub Actions.
  •  Prior interaction with factory automation systems.
    Application Process:
    By applying to this posting, your resume and profile will become visible to Intel recruiters, allowing them to consider you for current and future job openings aligned with the skills and positions mentioned above. We are constantly working towards a more connected and intelligent future, and we need your help. Change tomorrow. Start today.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (India)

Primary Location: 

India, Bangalore

Additional Locations:

Business group:

As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support.  Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

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