Senior ML Engineer: Perception & Sensor Fusion for Autonomy

NVIDIA Corporation; Santa Clara, Northern (CA, KY); Hybrid; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in California seeks a senior Machine Learning Engineer to advance perception for the NVIDIA DRIVE AV platform. You will design and optimize ML models for LiDAR/camera fusion and implement production-ready code in C++.

The role blends research, engineering, and collaboration across multiple teams to deliver robust autonomous driving solutions. You should have 8+ years of ML experience, strong C++/Python skills, and a track record of shipping models to production in automotive or robotics

Qualifications

• MS or PhD in CS/engineering or equivalent.
• 8+ years of industry experience applying ML to real-world problems.
• Strong C++ and Python for large, complex systems.
• Deep practical experience in lidar/camera perception and multi-sensor fusion.
• Experience with ML frameworks (PyTorch, TensorFlow) and ML fundamentals.
• Build and sustain training and metric workflows for large datasets.
• Excellent communication and analytical skills.
• Self-motivated to solve hard problems.

Responsibilities

• Design, train, and optimize ML models for LiDAR/camera perception and multi-sensor fusion.
• Develop productized code in C++ for NVIDIA DRIVE AV platform.
• Keep up with latest ML advances and improve platform performance.
• Collaborate with LiDAR/camera teams, engineers, and managers to turn ideas into reliable solutions.

Skills

C++ programming

Python programming

Deep learning

Computer vision

Lidar perception

Multi-sensor fusion

Communication skills

Self-motivated

Education

MS or PhD in CS or engineering

Tools

PyTorch

TensorFlow

TensorRT

Job description

NVIDIA in California seeks a senior Machine Learning Engineer to advance perception for the NVIDIA DRIVE AV platform. You will design and optimize ML models for LiDAR/camera fusion and implement production-ready code in C++.

The role blends research, engineering, and collaboration across multiple teams to deliver robust autonomous driving solutions. You should have 8+ years of ML experience, strong C++/Python skills, and a track record of shipping models to production in automotive or robotics