SDE Intern (AI & Test Automation)

About this internship

ChargePoint (NYSE: CHPT), one of the world’s leading EV charging networks, is hiring an SDE Intern to drive quality and AI engineering across two high-impact initiatives: its Voice AI platform and its Monitoring & Analytics platform. This is a hands-on opportunity to work at the centre of the electric-mobility revolution while building production-grade automation and machine-learning systems. You will help design and own the overall test-automation framework and strategy, define test-pyramid principles (unit, integration, contract and E2E) and enforce them across repositories. You will contribute to architecture decisions for automation tooling, CI/CD test pipelines and test-health observability, establish standards for test-data management and flakiness elimination, and support the performance-testing practice — load, stress, soak and spike testing — with performance baselines, SLOs and regression gates integrated into CI/CD.

Skills you'll use

What you'll do

• Design and own the test-automation framework and strategy across AI platforms
• Define and enforce test-pyramid principles: unit, integration, contract and E2E
• Lead architecture for automation tooling, CI/CD test pipelines and test observability
• Establish standards for test-data management, environment parity and flakiness elimination
• Own performance testing — load, stress, soak and spike — for backend services and APIs
• Define performance baselines, SLOs and regression gates integrated into CI/CD

Who can apply

• Strong programming skills in Python
• Basic knowledge of statistics and linear algebra
• Hands-on with ML libraries such as TensorFlow, PyTorch or scikit-learn
• Understanding of core ML concepts and model-evaluation metrics
• Familiarity with data manipulation using Pandas and NumPy
• Bonus: computer vision (OpenCV, CNNs, YOLO), LLMs, cloud (AWS/GCP/Azure) and MLOps

Perks & benefits

About ChargePoint

ChargePoint (NYSE: CHPT), one of the world’s leading EV charging networks, is hiring an SDE Intern to drive quality and AI engineering across two high-impact initiatives: its Voice AI platform and its Monitoring & Analytics platform. This is a hands-on opportunity to work at the centre of the electric-mobility revolution while building production-grade automation and machine-learning systems. You will help design and own the overall test-automation framework and strategy, define test-pyramid principles (unit, integration, contract and E2E) and enforce them across repositories. You will contribute to architecture decisions for automation tooling, CI/CD test pipelines and test-health observability, establish standards for test-data management and flakiness elimination, and support the performance-testing practice — load, stress, soak and spike testing — with performance baselines, SLOs and regression gates integrated into CI/CD.

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