Senior ML Engineer — LiDAR/Camera Perception & Fusion

NVIDIA; New York (NY); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an experienced ML engineer to design, train, and optimize models for LiDAR and camera perception, integrating them into a production-grade NVIDIA DRIVE AV stack. You will build end-to-end ML workflows, from data pipelines to performance reporting, and translate research into reliable autonomous driving solutions.

Ideal candidates have 8+ years in ML, strong C++/Python, and hands-on experience with LiDAR/multi-sensor fusion, PyTorch or TensorFlow, and large-scale data pipelines.

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 ML models for LiDAR/camera perception and multi-sensor fusion (object detection/classification, image classification, semantic segmentation, tracking).
• Develop and coordinate ML workflows: data pipelines, model training, metrics, performance instrumentation, and reporting.
• Productize ML models to the NVIDIA DRIVE AV platform, delivering efficient production code in C++.
• Stay updated with latest ML developments and apply techniques to improve platform performance.
• Collaborate with LiDAR/camera teams, developers, engineers, and managers to turn ideas into reliable autonomous driving solutions.

Skills

C++

Python

8+ years experience

LiDAR/Camera Perception

Multi-sensor Fusion

PyTorch

TensorFlow

ML Pipelines

Transformers

CUDA

TensorRT

Education

MS/PhD in CS/Engineering

Tools

PyTorch

TensorFlow

CUDA

TensorRT

Job description

NVIDIA is seeking an experienced ML engineer to design, train, and optimize models for LiDAR and camera perception, integrating them into a production-grade NVIDIA DRIVE AV stack. You will build end-to-end ML workflows, from data pipelines to performance reporting, and translate research into reliable autonomous driving solutions.

Ideal candidates have 8+ years in ML, strong C++/Python, and hands-on experience with LiDAR/multi-sensor fusion, PyTorch or TensorFlow, and large-scale data pipelines.