INTERNSHIP: AI Cloud Software Engineer
As an intern within the Platform R&D Cloud Compute Team, you contribute to delivering best-in-class simulation applications and technologies for simulating Product, Nature and Life in the 3DEXPERIENCE Platform and on the Cloud. You will have the opportunity to experience the full software development lifecycle, while remaining focused upon a certain aspect of this cycle to gain in-depth knowledge. Applying knowledge gained in computer science/Engineering courses to real-world problems. Analyzing information and evaluating results to choose the best solution to solve problems. Developing scripts to automate routine tasks. Designing the software system, describing the specifications in technical terms Coding, compiling and running unit tests according to Implement processes Keeping abreast of the latest technological developments, understanding the requirements of our development partners, knowing about competing products Knowledge for AI and ML is a plus
Challenges ahead Learning and working in a very fast paced environment, handling multiple tasks and assignments. Learning Web application development, Cloud Infrastructure and AI. Developing expertise in service technologies specific to Grid.
Your Key Success Factors
- Actively engaged in a Bachelor’s or Master’s Degree in Engineering, Computer Science, AI, Machine Learning, or related disciplines.
- Possesses hands-on experience with cloud infrastructure and development, including AWS, Azure, or other platforms (e.g., deploying scalable applications, managing cloud resources, or integrating serverless architectures).
- Possesses hands-on experience with AI/ML development, such as building models, training datasets, or implementing algorithms using frameworks like TensorFlow, PyTorch, LangChain, or LangGraph.
- Demonstrates experience writing code fixes and tools to solve AI and cloud-related problems in one or more of the following languages: JavaScript, Python, and C++ (e.g., optimizing data pipelines for ML workflows, removing duplicate elements from datasets in cloud environments, or implementing chains and agents in LangChain).
- Possesses experience with linear coding and leveraging language features when necessary (e.g., data structures for efficient AI processing, branching and conditionals for cloud orchestration, function-calls for modular ML components, or graph-based constructs like nodes and edges in LangGraph for stateful multi-actor applications).
- Familiarity with key AI constructs such as retrieval-augmented generation (RAG), agents, chains, tools, memory components, and graph-based workflows for building LLM-powered applications.
Inclusion statement
Compensation for the role will be commensurate with experience. The total expected compensation range will be between $22 and $36, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.
Dassault Systèmes is a catalyst for human progress. We provide business and people with collaborative virtual environments to imagine sustainable innovations. By creating virtual twin experiences of the real world with our 3DEXPERIENCE platform and applications, we bring value to more than 350,000 customers of all sizes, in all industries, in more than 150 countries. Join our global community of more than 23,800 passionate individuals!
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