Parking Perception DNN Engineer
NVIDIA
full-time
Posted on:
Location Type: Office
Location: Shanghai • China
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About the role
- Develop and productize NVIDIA’s autonomous driving solutions
- Work on building world-class 3D obstacle perception solutions based on multi-sensor fusion
- Applied research and development of innovative deep learning and multi-sensor fusion algorithms
- Identify and analyze the strength and weakness of developed solutions using large scale benchmark data
- Productize the developed solutions by meeting product requirements for safety, latency, and SW robustness
- Drive data-driven development by working with large data collection and labeling teams
Requirements
- 10+ years of hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems
- Proficiency in using deep learning frameworks (e.g., PyTorch)
- Experience in multi-sensor fusion (cameras, ultrasonic sensors, radar) for perception tasks, particularly in high-resolution world reconstruction
- Proven experience in production deep learning model development, including careful data verification, model architecture design, loss function engineering, and debugging ML models
- Experience in data-driven development and collaboration with data and ground truth teams
- Strong programming skills in python and/or C++
- BS/MS/PhD in CS, EE, sciences or related fields (or equivalent experience)
Benefits
- Health insurance
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
deep learningmulti-sensor fusionalgorithm developmentdata verificationmodel architecture designloss function engineeringdebugging ML modelsprogramming in Pythonprogramming in C++3D obstacle perception
Soft Skills
data-driven developmentcollaborationproblem-solvinganalytical skillsinnovation