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Software Research Engineer/Scientist

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.

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Software Research Engineer/Scientist, Intel

Are you ready to push the boundaries of semiconductor technology? Join Intel Corporation as a Software Research Engineer/Scientist in Bangalore, India, where creativity and technological innovation come together. In this exciting role within our Logic Technology Development team, you'll dive into the world of AI and analytics, working in one of the most advanced cleanroom facilities. You'll design, execute, and analyze experiments that meet our top-notch engineering specifications while learning the intricacies of our manufacturing line. Your passion for leveraging data and developing state-of-the-art software solutions will be the key to transforming technology for the future. Collaborating with a diverse team, you'll have the chance to enhance our existing machine learning platforms, build robust data pipelines, and give life to AI/ML products. We prioritize growth and learning, providing you with ample opportunities to excel and be part of a forward-thinking organization. At Intel, we foster a supportive culture filled with diverse perspectives that lead to exceptional results. Our benefits are tailored to ensure a fulfilling work-life balance, from generous medical plans to wellness programs and recreational activities. If you're excited about exploring complex data structures and automating processes, don't miss the chance to shape the future with us as a Software Research Engineer/Scientist at Intel!

Frequently Asked Questions (FAQs) for Software Research Engineer/Scientist Role at Intel
What are the key responsibilities of a Software Research Engineer/Scientist at Intel Corporation?

As a Software Research Engineer/Scientist at Intel Corporation, you will be responsible for developing software and data engineering solutions for in-house AI/ML products. You will enhance existing ML platforms and create data pipelines to connect various factory automation systems. Additionally, you'll manage big data interactions with cloud environments and collaborate with different teams to streamline solution development and deployment.

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What qualifications are required for the Software Research Engineer/Scientist position at Intel?

For the Software Research Engineer/Scientist position at Intel Corporation, a Master's or PhD degree in Computer Science, Computer Engineering, or a related field is required. Additionally, candidates should have at least 3 years of experience in data engineering or software development, with knowledge in tools such as Spark, Hadoop, and Kubernetes, and familiarity with SQL and data analytics.

Join Rise to see the full answer
What is the working environment like for a Software Research Engineer/Scientist at Intel?

The working environment for a Software Research Engineer/Scientist at Intel Corporation is collaborative and innovative. You will work in one of the world’s most advanced cleanroom facilities and be part of a diverse team that emphasizes support and creativity in pushing semiconductor technology boundaries.

Join Rise to see the full answer
What benefits does Intel Corporation offer to its Software Research Engineers/Scientists?

Intel Corporation provides a comprehensive benefits package for Software Research Engineers/Scientists, including excellent medical plans, wellness programs, opportunities for professional growth, and generous paid time off. Additionally, employees enjoy discounts on various products and services, enhancing the work-life experience.

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How can I advance in my career as a Software Research Engineer/Scientist at Intel?

Advancing your career as a Software Research Engineer/Scientist at Intel Corporation involves leveraging the comprehensive training and development opportunities offered, networking within the company, and actively contributing to innovative projects. Your journey can be enhanced by gaining experience in diverse roles and engaging in continuous learning.

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Common Interview Questions for Software Research Engineer/Scientist
Can you describe your experience with data engineering tools relevant to the Software Research Engineer/Scientist role?

When answering this question, highlight specific tools you’ve used, such as Spark, Hadoop, or Kubernetes. Discuss projects where these tools played a key role, focusing on the outcomes of your work, and how your contributions improved processes or solutions.

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What strategies do you use to manage and streamline data pipelines?

Explain your approach to building efficient data pipelines, emphasizing data ingestion, transformation, and storage processes. Discuss tools or frameworks you use for deployment and monitoring, and provide examples of how you've resolved bottlenecks in data flow.

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How do you ensure the quality and reliability of your code in projects?

Discuss practices including code reviews, testing protocols (unit tests, integration tests), and methodologies like CI/CD. Detail how these practices have helped you maintain high standards in previous projects.

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What are some challenges you've faced in software development and how did you overcome them?

Share specific scenarios where you encountered challenges such as tight deadlines or technical blockers. Describe the steps you took to navigate these challenges, whether through collaboration with peers or adopting new technologies.

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Can you walk us through a machine learning project you’ve led or contributed to?

Provide a structured overview of the project, including your role, the problem addressed, the data used, algorithms implemented, and the eventual impact or results. Focus on your decision-making process and how you adapted to changes during the project.

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How do you stay updated with the latest trends and technologies in AI and data science?

Mention resources you rely on, such as industry blogs, academic journals, online courses, and conferences. Share examples of how you’ve applied new knowledge to your work, reinforcing your commitment to continuous learning.

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Describe a time when you had to collaborate with cross-functional teams?

Thinking of an example, highlight your communication and teamwork skills. Describe how you aligned diverse team goals, overcame misunderstandings, and ensured everyone worked towards a common objective, emphasizing resilience and adaptability.

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What role does documentation play in your software development process?

Clarify the importance of documentation in maintaining clarity and efficiency across your work. Discuss your approach to documenting processes, code, and decisions to facilitate future modifications by yourself and others.

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How do you prioritize tasks and manage your time during a project?

Detail methods and tools you use for prioritization, such as Agile methodologies or project management software. Share your strategies for balancing multiple tasks while delivering high-quality work on time.

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What do you think are the key qualities for a successful Software Research Engineer/Scientist?

Reflect on qualities such as curiosity, adaptability, technical proficiency, and collaboration. Specify why these qualities are essential and provide personal anecdotes that illustrate how you embody these traits in your work.

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MATCH
Calculating your matching score...
BADGES
Badge ChangemakerBadge Diversity ChampionBadge Flexible CultureBadge Global CitizenBadge Work&Life Balance
CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Growth & Learning
Transparent & Candid
Customer-Centric
BENEFITS & PERKS
Snacks
Onsite Gym
Family Coverage (Insurance)
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Learning & Development
Paid Time-Off
401K Matching
Maternity Leave
Paternity Leave
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 10, 2025

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