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Deep Learning Applications Engineer

NVIDIA· Engineer, Sys SW
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Seoul, KoreaFull-timePosted 4mo ago

About the role

AI Engineer – Deep Learning Applications Engineer to design and build agentic systems and deep learning applications for NVIDIA driver assistance systems (ADAS), from prototype to SIL/HIL validation and production readiness.

Responsibilities

  • Design and deploy LLM/VLM-powered agents for autonomous driving use cases including automated bug diagnosis and triaging flows.
  • Develop and optimize innovative deep learning models for robotics and ADAS systems.
  • Build workflows, models, and simulations to productize NVIDIA driver assistance capabilities.
  • Develop agentic workflows for SIL and HIL solutions and integrate them with validation and test infrastructure.
  • Collaborate with solutions architecture, validation, firmware, and customer-facing teams to deliver features from prototype through SIL/HIL toward production readiness.

Qualifications

  • BS/MS or higher in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or related field (or equivalent experience).
  • 2+ years of relevant professional software engineering experience.
  • Demonstrated work in AI/ML, automation, test infrastructure, or platform/tooling.
  • Hands-on experience on embedded systems in automotive-related platforms (e.g., ECU/SoC stacks, ADAS, IVI, AUTOSAR/Linux automotive software, automotive validation/SIL/HIL, or OEM/Tier-1 environments).Read embedded logs and understand hardware–software constraints; collaborate with firmware and validation engineers.
  • Solid proficiency with modern LLM/VLM APIs, prompt engineering, and agent frameworks (e.g., LangChain, AutoGen, CrewAI, or custom orchestration).
  • Strong proficiency in Python (agent orchestration, tooling, data pipelines) and working proficiency in C/C++ to read embedded code and logs.
  • Practical experience with Git, Docker, CI/CD, and test/verification frameworks for automated software validation.
  • Strong analytical and communication skills; ability to learn quickly and own features with guidance from senior engineers and cross-functional partners.
  • Hands-on SIL/HIL or simulation experience tied to ADAS perception, planning, or validation pipelines.

Skills

Required:PythonC/C++LLM/VLM APIsEmbedded systems in automotiveGit/Docker/CI-CD

Benefits

  • Comprehensive benefits package (NVIDIA Benefits)
  • Competitive salaries
Last updated Jun 26, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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