4 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Design end-to-end perception and autonomous-vehicle stack solutions for road-network detection across varied driving environments.
- Research and develop deep learning models for lane graph construction, road boundary detection, traffic element recognition, and other static-world perception tasks.
- Develop generalizable perception approaches for diverse operational design domains and country or region expansion.
- Prioritize data collection and labeling with data and ground-truth teams to improve perception accuracy and labeling efficiency.
- Use data simulation and augmentation to address extreme driving scenarios.
- Productize perception solutions that satisfy safety, latency, and software robustness requirements.
Requirements
- PhD with 4+ years, MS with 6+ years, or BS or equivalent experience with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
- Hands-on experience developing deep learning and algorithmic solutions for sophisticated real-world problems.
- Proficiency with deep learning frameworks such as PyTorch.
- Experience with data-driven development and collaboration with data and ground-truth teams.
- Strong programming skills in Python and/or C++.
- Two or more years of technical leadership involving high technical and organizational complexity is preferred.
- Expertise in autonomous-driving or robotics perception using camera-based deep learning, embedded deployment of DNN solutions for real-time applications, technical publications, Transformers, BEV architectures, or online mapping and complex road detection is preferred.
Benefits
- Eligible for equity and benefits.
- Base salary depends on location, experience, and other objective job-related factors; the posting lists Level 4 and Level 5 salary ranges.
- Applications will be accepted at least until November 16, 2026.
Categories
ML EngineeringRobotics
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.