Develop and implement AI-driven solutions and embedded communication systems for advanced manufacturing environments to optimize production workflows.
Requirements
- Strong proficiency in C++, JavaScript, and containerization (Docker).
- Experience with AI/ML model deployment and performance benchmarking.
- Familiarity with Agile development and CI/CD pipelines.
- Ability to produce technical documentation and architectural diagrams.
- Knowledge of data privacy and regulatory compliance in software development.
- Exposure to local LLM deployment and inference optimization.
Responsibilities
- Develop and integrate software components for in-cab communication and modular vehicle systems.
- Design solution architecture documents including context, component, and sequence diagrams.
- Deliver incremental software builds with high unit-test coverage.
- Deploy and benchmark local LLM packages (e.g., Llama-based models) for low-latency inference.
- Create operational runbooks and SOPs for installation, backup, and patching.
- Conduct pilot readiness reviews and knowledge-transfer sessions.
- Ensure compliance with usability, functionality, and data privacy standards.
Other
- Conduct pilot readiness reviews and knowledge-transfer sessions.
