Senior Deep Learning Architect: LiDAR & Autonomy

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is hiring a senior machine learning architect for the DRIVE AV platform in California. You will design, train, and optimize models for LiDAR and camera perception and integrate multi-sensor fusion into production code.

You'll build end-to-end ML workflows, manage data pipelines, metrics, and performance instrumentation, and collaborate with cross-functional teams to deliver robust, real-time AI capabilities for autonomous driving.

Qualifications

• MS or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
• 8+ years of relevant proven industry experience applying machine learning to address real‑world problems.
• Strong C++ and Python programming and debugging skills with experience in developing for large, complex systems.
• Deep practical experience applying machine learning to lidar/camera perception and multi-sensor fusion in automotive or related fields.
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and a strong understanding of the mathematical foundations of ML.
• Building and sustaining training and essential metric workflows for large‑scale datasets.
• Excellent communication and analytical skills. Self‑motivated drive to solve hard problems.

Responsibilities

• Design, train, and optimize innovative machine learning models for LiDAR/camera perception and multi-sensor fusion (e.g., object detection/classification, image classification, semantic segmentation, tracking).
• Develop and coordinate entire ML workflows, covering data pipelines, model training, model metrics, continuous performance instrumentation, and reporting.
• Take ML models and algorithms from initial evaluation and experimentation all the way to product level on the NVIDIA DRIVE AV platform, developing highly efficient product code in C++.
• Keep track of the latest developments in machine learning, and incorporate techniques that improve platform performance.
• Collaborate with LiDAR/camera teams, developers, engineers, and managers to turn complex ideas into reliable solutions for autonomous driving.

Skills

C++ programming

Python programming

Strong debugging

Communication skills

Education

MS/PhD in Computer Science/Engineering or related field

Tools

PyTorch

TensorFlow

CUDA

Linux

Job description

NVIDIA is hiring a senior machine learning architect for the DRIVE AV platform in California. You will design, train, and optimize models for LiDAR and camera perception and integrate multi-sensor fusion into production code.

You'll build end-to-end ML workflows, manage data pipelines, metrics, and performance instrumentation, and collaborate with cross-functional teams to deliver robust, real-time AI capabilities for autonomous driving.