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Internship, Software Engineer, Information Security (Winter/Spring 2027)

Tesla Motors, Inc.
38 - 50 USD
paid holidays, flex time, 401(k)
United States, Washington, Bellevue
Nov 13, 2026
What to Expect

Consider beforesubmittingan application:

This position is expected to start around January 2027 and continue through the entire Spring term (ending approximately May 2027 or later, if available). We ask for a minimum of 12 weeks, Full - Time (40 hours/week) and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.

International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.

Internship Programs at Tesla

The Internship Recruiting Team is driven by the passion to recognize emerging talent. Our year-round program places the best students in positions that they will grow both technically and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows for the intern to experience life at Tesla by giving them ownership over projects that are critical to their team's success.

About the Team

We are looking for a Software Engineer Intern interested in joining a fast-paced and dynamic Information Security team! The role requires expertise in processing large amount of data using Apache Airflow, Apache Spark or similar other open-source frameworks, with experience in building and optimizing ETL pipelines for large-scale, sensitive datasets. Proficiency in secure REST API development using Python or Java and hands-on experience with DevOps methodologies is essential.


What You'll Do
  • Architect and maintain secure, scalable ETL and feature-engineering pipelines to process high-volume data
  • Implement efficient data ingestion, transformation, and storage processes using Apache Airflow, Apache Spark, or equivalent frameworks
  • Design, train, and evaluate machine learning models for anomaly detection, outlier scoring, classification, and risk prediction
  • Build and maintain end-to-end ML training and inference pipelines (distributed Spark training jobs, model artifact storage, and low-latency model serving APIs)
  • Develop graph analytics and applied LLM workflows over large-scale relational and graph datasets
  • Implement robust failure recovery mechanisms, data and model drift monitoring, and alerting for pipeline reliability
  • Optimize Spark jobs for low latency and high throughput in processing data
  • Design, develop, and maintain secure and scalable REST APIs using Python frameworks (e.g., Flask, FastAPI) or Java frameworks (e.g., Spring Boot)
  • Work in a DevOps-driven environment, implementing CI/CD pipelines for ETL workflows, ML services, and API deployments

What You'll Bring
  • Currently pursuing a degree in Computer Science, Machine Learning, Data Science, or a related field of study with a graduation date between 2027-2028
  • Able to relocate and work onsite in Bellevue, WA
  • Proficient in at least two general programming languages such as Python and Java
  • Hands-on experience with machine learning libraries (e.g., scikit-learn, PyTorch, XGBoost/LightGBM, NumPy, pandas) and core ML techniques (unsupervised anomaly detection, classification, embeddings, ensemble models, and model evaluation)
  • Proven expertise in architecting data and ML pipelines
  • Hands-on experience with Apache Spark, Airflow, and Apache Iceberg / Delta Lake
  • Hands-on experience in REST API development using technologies like FastAPI or Spring Boot
  • Familiarity with graph databases (e.g., Neo4j) or applied LLM development (tool-calling agents, structured outputs) is a plus
  • Hands-on experience in DevOps & CI/CD (Docker, Kubernetes)
  • Adaptable & collaborative mindset
  • Strong analytical problem-solving skills
Benefits

As a full-time Tesla Intern, you will be eligible for:

  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution
  • Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k), Employee Stock Purchase Plans, and other financial benefits
  • Company Paid Basic Life, AD&D, and short-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Commuter benefits
  • Employee discounts and perks program
  • Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)
    Expected Compensation
    $38.00 - $50.00 + benefits for all levels

    Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

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