Senior ML Engineer — Autonomous Perception & Fusion Equity

NVIDIA; California; On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in California seeks an accomplished ML engineer to design, train, and optimize models for LiDAR/camera perception and multi-sensor fusion on the DRIVE AV platform, delivering efficient production-ready C++ code.

You will build end-to-end ML workflows, stay current with deep learning techniques, and collaborate across teams to turn complex ideas into robust autonomous-driving solutions. Equity and benefits are provided.

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.
• 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 to product level on the NVIDIA DRIVE AV platform, developing efficient product code in C++.
• Innovation: Keep track of the latest developments in ML and incorporate techniques to improve platform performance.
• Collaborate with LiDAR/camera teams, developers, engineers, and managers to turn complex ideas into reliable solutions for autonomous driving.

Skills

C++

Python

ML & DL

Communication

Problem solving

Education

MS or PhD in Computer Science, Engineering, or related field

Tools

PyTorch

TensorFlow

TensorRT

Job description

NVIDIA in California seeks an accomplished ML engineer to design, train, and optimize models for LiDAR/camera perception and multi-sensor fusion on the DRIVE AV platform, delivering efficient production-ready C++ code.

You will build end-to-end ML workflows, stay current with deep learning techniques, and collaborate across teams to turn complex ideas into robust autonomous-driving solutions. Equity and benefits are provided.