Senior ML Engineer, Perception & Autonomy

Thomas To; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara, CA is seeking a Machine Learning Engineer to advance LiDAR/camera perception and multi-sensor fusion for autonomous driving. You will design ML models, build end-to-end workflows, and productize code in C++, collaborating with LiDAR/camera teams.

The role requires an MS/PhD, 8+ years of experience, hands-on ML with PyTorch/TensorFlow, and strong communication skills. Base salary ranges are specified with equity and benefits.

Qualifications

• MS or PhD in Computer Science, Engineering, or 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

• Model Development: 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.
• Productization: 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++.
• Innovation: 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

Machine learning

Deep learning frameworks

LiDAR perception

Multi-sensor fusion

Autonomous vehicles

Education

MS or PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

Job description

NVIDIA in Santa Clara, CA is seeking a Machine Learning Engineer to advance LiDAR/camera perception and multi-sensor fusion for autonomous driving. You will design ML models, build end-to-end workflows, and productize code in C++, collaborating with LiDAR/camera teams.

The role requires an MS/PhD, 8+ years of experience, hands-on ML with PyTorch/TensorFlow, and strong communication skills. Base salary ranges are specified with equity and benefits.