1 day ago
Base Salary
$184k - $357k/yr
Responsibilities
- Design end-to-end perception and autonomous-vehicle-stack solutions for traffic signal detection across varied driving environments.
- Develop deep learning models for traffic lights, traffic signs, road markings, construction objects, text recognition, and related perception tasks.
- Develop generalizable approaches for diverse operational design domains and country or region expansion.
- Partner with data collection and ground-truth teams to prioritize data collection, labeling, and labeling-efficiency improvements.
- Use data simulation and augmentation to address extreme driving scenarios.
- Productize perception solutions while meeting 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 algorithms 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++.
- Technical leadership experience involving high technical and organizational complexity is a plus.
- Expertise in autonomous-driving or robotics perception using deep learning with cameras is a plus.
- Experience deploying DNN-based solutions to embedded platforms for real-time applications is a plus.
- Technical publications in leading conferences or journals, and experience with Visual Language Models, Transformers, BEV architectures, and complex object detection and recognition, are advantageous.
Benefits
- Eligible for equity and benefits.
- Base salary is determined by location, experience, and pay for similar positions.
- Applications will be accepted at least until September 25, 2026.
- The position is an existing vacancy.
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.