Deep Learning Applications Engineer
Tasks
- Build workflows models and simulations for driver assistance
- Collaborate with solutions architecture validation firmware and customer teams
- Design and deploy LLM VLM powered agents
- Develop agentic workflows for SIL and HIL
- Develop and optimize deep learning models for robotics and ADAS
- Integrate agentic workflows with validation and test infrastructure
Perks/Benefits
- N/A
Skills/Tech-stack
ADAS | AUTOSAR | Agent Frameworks | Autogen | Automotive validation | C++ | CI/CD | CrewAI | Deep learning | Docker | Embedded Systems | Git | HIL | Langchain | Language Models | Large Language Models | Linux | Prompt engineering | Python | RTOS | Robotics | SiL | Simulation | Test automation | Test infrastructure | Verification frameworks | Vision Language Models | Vision-language
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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