Kaleris builds Yard Management Systems (YMS) that control and optimize the movement of goods throughout the supply chain — across gates, yards, docks, and drivers. We are actively expanding our YMS platform with new automation capabilities including gate intelligence, real-time yard visibility, and driver self-service workflows.
As an intern on this team, you'll contribute to real engineering problems on a live product. You'll be assigned to one or more focus areas based on team needs and your own strengths — which may shift during the internship as priorities evolve. You should be comfortable with ambiguity and self-directed enough to ramp up on a new area with limited hand-holding.
What You May Work On
Your work will fall within either of the following areas, depending on where the team needs you most:
1. Gate Automation & Computer Vision (Research & Prototype)
Explore and prototype computer vision and OCR approaches for automated detection of truck and trailer data at yard gates — trailer numbers, license plates, cab numbers, USDOT numbers, and seal presence
Build and evaluate training data pipelines using publicly available datasets and real-world gate imagery
Benchmark detection accuracy and document what is achievable in-house vs. what would require significant investment
Assess feasibility of running detection models on edge hardware (e.g., NVIDIA Jetson or equivalent)
. YMS Platform Feature Development
Work on backend features within the Kaleris YMS platform — contributing to gate workflow logic, shipment management, dock door assignments, or yard inventory tracking
Write clean, testable code and participate in code reviews
Help reduce manual data entry pain points through automation and smarter integrations
What You Bring
Required:
Currently pursuing a B.E./B.Tech or M.E./M.Tech in Computer Science, Electronics, or a related field (final or pre-final year)
Solid programming fundamentals in at least one language — Python, Java, or similar
Any hands-on project or coursework involving computer vision, OCR, or machine learning (academic, personal, or Kaggle — show us the code)
Familiarity with PyTorch or TensorFlow, and Python data libraries (OpenCV, NumPy)
Ability to pick up new technologies independently — you won't have a dedicated senior in every focus area
Clear written communication — you'll need to document your work and surface blockers clearly
Genuine curiosity about how software solves real operational problems
Good to Have:
Web development experience — frontend or backend
Ruby on Rails familiarity — our YMS platform has Rails components; any Rails or web backend experience is a strong plus
Exposure to REST APIs, event-driven systems, or database design
Interest in logistics, yard/warehouse operations, or supply chain technology
What You'll Get
Exposure to a real, production YMS platform used by major logistics operators
Ownership of a meaningful deliverable — not a sandbox exercise
Flexibility to contribute across different areas of the product based on where you add the most value
Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.