R&D Data Analytics, AI and Production Systems - Summer 2027 Internship (Masters or PhD)

Seagate Technology; Normandale (AL); On-site; USD 48,000 - 62,000; Full time

Benefits offered by this job

Medical

Dental

Vision

12 paid holidays

Paid sick leave (minimum 48 hours)

Job summary

Seagate is offering a Summer 2027 Internship in R&D Data Analytics, AI and Production Systems. You will modernize Linux cluster management, build production dashboards, and prototype AI solutions translating natural language to SQL, while collaborating with R&D engineers and data analysts on data quality and observability.

You will work in a cross‑functional, high‑tech R&D environment on-site at Normandale, United States, continuing school into Fall 2027.

Qualifications

• Programming experience in Python including data processing, automation, APIs or analytics applications.
• Working knowledge of SQL with relational data concepts and performance‑aware access.
• Experience using Linux for development, processing, or compute workloads.
• Familiarity with Git version control, modular design, debugging, testing, and documentation.

Responsibilities

• Modernize and improve the efficiency of Linux cluster management and data analytics production workflows.
• Develop monitoring capabilities showing production data volume and flow, status, throughput, and resource use.
• Analyze production workflows to identify bottlenecks, manual steps, and automation opportunities.
• Design and implement dashboards, alerts, logs, and metrics for production health and data quality.
• Prototype frontier AI solutions including LLM applications translating natural language to SQL.

Skills

Python

SQL

Linux

Data pipeline

Production monitoring

Software engineering

Git

Tools

Grafana

Prometheus

Power BI

Streamlit

Job description

R&D Data Analytics, AI and Production Systems - Summer 2027 Internship (Masters or PhD)

The Data Analytics (DA) team in the Characterization and Analytics Group develops big-data analytics, machine learning (ML), artificial intelligence (AI), and production software technologies that support R&D design and development activities within the Recording Head Technology organization.

Our work connects engineering data, Linux compute clusters, production data pipelines, monitoring, and AI-enabled analysis to help R&D teams move from data to decisions more efficiently.

Help modernize the data and compute systems behind next‑generation recording‑head R&D. You will build practical monitoring and automation solutions, improve production data flow, and explore frontier AI approaches such as natural‑language‑to‑SQL and causal root‑cause analysis.

About the role - you will

• Modernize and improve the efficiency of Linux cluster management and data‑analytics production workflows.
• Develop monitoring capabilities that show production data volume and flow, including how much data enters and leaves pipelines, processing status, throughput, failures, delays, and resource utilization.
• Analyze production workflows to identify bottlenecks, repetitive manual steps, reliability risks, and automation opportunities.
• Design and implement dashboards, alerts, logs, and operational metrics that improve visibility into production health and data quality.
• Prototype frontier AI solutions, including large language model (LLM) applications that translate natural‑language questions into safe, validated SQL queries.
• Explore root‑cause analysis (RCA) methods using causal analysis, statistical techniques, machine learning, and engineering domain knowledge.
• Develop maintainable software and automation in Python and Rust, with appropriate testing, documentation, and version control.
• Work with R&D engineers, data analysts, and infrastructure partners to define requirements, evaluate solutions, and communicate findings.
• Document designs, code, results, and recommendations, and present progress and insights to teammates and stakeholders.

About you

• You are curious about how data, software, infrastructure, and AI work together in real production environments.
• You approach ambiguous technical problems with structured thinking, experimentation, and attention to data quality.
• You can work independently while collaborating effectively in a cross‑functional, high‑technology R&D environment.
• You communicate clearly, seek feedback, and turn prototypes into documented, reusable solutions.
• You are motivated to learn new technologies and evaluate them based on measurable engineering value.

Required Skills

• Python
• SQL
• Linux
• Data pipeline and production monitoring
• Software engineering and Git

Your experience includes

• Programming experience with Python, including data processing, automation, APIs, testing, or analytics applications.
• Working knowledge of SQL and relational data concepts, including querying, joins, validation, and performance‑aware data access.
• Experience using Linux and command‑line tools for software development, data processing, or compute workloads.
• Understanding of software engineering practices such as Git version control, modular design, debugging, testing, and documentation.
• Familiarity with data pipelines, production monitoring, observability, or workflow automation.
• Foundational knowledge of machine learning, statistical analysis, or AI application development.
• Strong analytical, troubleshooting, and problem‑solving skills.

You might also have

• Experience with Rust or another systems programming language, or a strong interest in learning Rust for reliable, high‑performance services and tools.
• Experience with high‑performance computing or cluster technologies such as Slurm, containers, job scheduling, resource monitoring, or distributed workloads.
• Experience building dashboards or monitoring systems using tools such as Grafana, Prometheus, Power BI, Streamlit, or similar technologies.
• Knowledge of LLM application patterns such as tool use, retrieval‑augmented generation, structured outputs, guardrails, evaluation, or natural‑language‑to‑SQL workflows.
• Experience with causal inference, Bayesian methods, time‑series analysis, anomaly detection, fault trees, or other RCA methods.
• Familiarity with REST APIs, Docker, Kubernetes, CI/CD, message queues, or workflow orchestration.
• Experience working with engineering, manufacturing, experimental, log, image, or time‑series data.

Master's or PhD student studying in Computer Science, Data Science, Software Engineering, Electrical Engineering, Mechanical Engineering, Physics, or a related engineering or quantitative field and must be continuing school into Fall 2027 semester.

Our Normandale campus spans two suburbs, Edina and Bloomington, and serves as the Recording Head development and manufacturing arm of Seagate. Located in the heart of a bustling community, Seagate offers an on‑site cafe, or if you prefer, you can drive to one of many restaurants just minutes away. Need to grab a gift over lunchtime? Shopping is abundant in the area. If working out is your thing, the on‑site fully equipped fitness center hosts wellness programs, outdoor activities, tournaments, and group workouts. Looking for something more laid back? Reset in one of our meditation rooms, or simply take a walk around our indoor walking path. On‑site cultural festivals, celebrations, and community volunteer opportunities also abound.

The estimated base wage range for this position is $35.00-45.00/hr. The individual base wage is based on work location and additional factors, including job‑related skills, experience, and relevant education or training.

Seagate offers comprehensive benefits to its eligible Interns, including, but not limited to, medical, dental, vision, and participation in the employee stock purchase plan. Seagate also offers Interns 12 paid holidays and a minimum of 48 hours of paid sick leave. The benefits for this position are based on a 24 to 40‑hour‑per‑week schedule for a full calendar year and may differ depending on work location and tenure with the Company.

Benefits

• medical, dental, vision, and participation in the employee stock purchase plan
• 12 paid holidays and a minimum of 48 hours of paid sick leave

Location: Normandale, United States
Travel: None

Information at a Glance

About Us

With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever‑expanding data landscape.

We craft precision‑engineered, cutting‑edge solutions that help the world store and manage exponential data growth.

Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.

Join us and get inspired to make a difference in the datasphere!

Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender (including gender identity and expression), sexual orientation, religion, military and veteran status, or any other classification protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records.

Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance or accommodation due to a disability, you may contact us at [e-mail].

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