Senior Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles - Korea, Seoul, South Korea
Originally posted 26 August 2026 by the employer.
About the role
This role involves designing and productizing NVIDIA's autonomous driving perception stack, specifically working on the core 3D obstacle perception pipeline. The focus includes modern transformer-based, multi-modal, and vision-language techniques.
What you'll do
- Develop and improve the technical build, architecture, and roadmap for 3D obstacle perception for autonomous driving.
- Design and implement advanced 3D perception models using multi-camera inputs and/or multi-sensor fusion (camera, radar, lidar).
- Build efficient, production-grade deep learning models by selecting and prototyping architectures, running experiments, and following training and evaluation guidelines.
- Define and maintain KPI frameworks to quantify perception performance and analyze datasets to improve accuracy, robustness, and efficiency.
- Contribute to the data strategy for perception by specifying data and labeling requirements and collaborating with data and ground-truth teams.
- Collaborate with safety, systems, and software teams to ensure perception solutions meet product requirements for deployment at scale.
What you'll need
- PhD, MS or BS (or equivalent experience) in Computer Science, Computer Engineering, or a related technical field.
- 5+ years hands-on experience developing deep learning–based perception or closely related systems.
- Strong proficiency in frameworks such as PyTorch and a track record of taking models from prototype to production.
- Proven experience in data-driven development, including collaboration with data, labeling, and validation teams.
- Strong programming skills in Python and/or C++ with experience building reliable, high-performance, production-quality software.
Skills: autonomous driving perception, 3D obstacle perception, deep learning models, transformer-based architectures, multi-sensor fusion, PyTorch
This role has been open 29 days — well below the 69-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
517
|
Median days open
69 d
|
Median salary
$232k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (517 roles · 75 employers) |
|---|---|---|
| Open roles in this specialty | 86 | 517 |
| Open roles in the wider Software, Firmware & Systems family | 972 | 5925 · 143 employers |
| Median days open | 70 d | 69 d (+1 d vs this employer) |
| Median salary (USD postings) | — | $232k |
Skills observed across this category: autonomous driving perception, 3D obstacle perception, deep learning models, transformer-based architectures, multi-sensor fusion, PyTorch
Who's hiring in this category
- Qualcomm · 109 open roles · median 99 d
- NVIDIA (this employer) · 87 open roles · median 70 d
- AMD · 44 open roles · median 62 d
- Micron Technology · 32 open roles · median 42 d
- Mobileye · 21 open roles · median 58 d
- Analog Devices · 14 open roles · median 27 d
How we counted: 517 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 employers tracked in the SemiconductorJobs index, counted 24 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.