Deep Learning Applications Engineer
Core
Design and build agentic systems and deep learning applications to productize NVIDIA driver assistance systems (ADAS) and autonomous driving solutions.
Role type
Senior IC Deep Learning Applications Engineer (Agentic AI & Embedded)
Builds
LLM/VLM-powered agents, automated bug diagnosis flows, perception and robotics models, and SIL/HIL validation workflows for ADAS.
Domain
Automotive / Autonomous Driving / Embedded Systems / AI/ML
Deliverable
production ML models | product features
Required skills
LLM/VLM agent engineering, Python, C/C++, embedded systems development, SIL/HIL validation, CI/CD, prompt engineering, data pipelines
Preferred skills
Fine-tuning open-source models (LoRA/QLoRA), automated software verification/fuzzing, deep embedded literacy (schematics, RTOS), robotics PhD
Technologies
LangChain, AutoGen, CrewAI, Docker, Git, AUTOSAR, Linux, ECU/SoC stacks
Responsibilities
Design and deploy LLM/VLM agents for autonomous driving stack; develop and optimize deep learning models for robotics and ADAS; build simulations to productize driver assistance capabilities; develop agentic workflows for SIL/HIL solutions; collaborate with architecture, validation, and firmware teams to deliver features to production.
Seniority
Senior, hands-on IC
