Deep Learning Applications Engineer

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Korea, SeoulRecently posted

Apply on NVIDIA's career page

Market pay check

Matched to Computer systems and software professionals

Source: Ministry of Employment and Labor wage information system (wage.go.kr), wage distribution by occupation.

What you'd do

Design and deploy LLM/VLM agents for autonomous driving bug diagnosis and triaging flows.
Develop and optimize deep learning models for robotics and ADAS systems.
Build workflows,models,and simulations to productize NVIDIA driver assistance capabilities.

What they want

Hold BS or MS in CE,CS,EE,Robotics,or related field,or equivalent experience.
Bring two or more years of relevant professional software engineering experience.
Show demonstrated work in AI/ML,automation,test infrastructure,or platform tooling.

Nice to have

PhD in robotics and deep learning is preferred for standout candidates.
Show deep embedded literacy including schematics,memory maps,RTOS logs,and hardware limits.
Fine-tune open-source models with LoRA or QLoRA for perception,codegen,or log analysis.

Seoulstart's read

Visa tier (likely): F-2 / F-4 / F-5 / F-6 holders welcome
Korean language: Korean not required
English friendliness: High: JD in English, foreign-friendly signals
Context: NVIDIA Seoul ADAS role; OEM and Tier-1 collaboration may still favor Korean for customer-facing work.

This is Seoulstart's analysis of the public job description, not the employer's stated policy. Verify visa sponsorship, language requirements, and remote allowances directly with the recruiter.

Open posting