NVIDIA
Deep Learning Applications Engineer
Korea, SeoulPosted 2 days ago
What you'd do
- Design and deploy LLM and VLM-powered agents for automated bug diagnosis across ADAS stacks
- Develop and optimize deep learning models for robotics and driver assistance systems
- Build workflows and simulations to productize NVIDIA driver assistance capabilities
What they want
- BS,MS,or higher in Computer Engineering,Computer Science,Electrical Engineering,or Robotics
- 2 or more years of professional software engineering experience in AI,ML,or automation
- Hands-on experience with automotive embedded platforms including ECU,ADAS,or AUTOSAR environments
Nice to have
- PhD in Robotics or Deep Learning strongly preferred
- Experience fine-tuning open-source models with LoRA or QLoRA for perception or code generation
- Publications,open-source contributions,or shipped projects in robotics,ADAS,or agentic automation