← All roles

Senior Machine Learning Engineer, Perception - Autonomous Driving

NVIDIA· Engineer, Sys SW
Apply on company site
Hybrid (Santa Clara, CA), Hybrid (Remote, TX), Hybrid (Remote, NY), Hybrid (Remote, WA), Hybrid (Remote, CA), Hybrid (Remote, MA)$184k - $287.5k + equityFull-timePosted 2w ago

About the role

Senior ML Engineer focused on perception for NVIDIA DRIVE AV, specializing in LiDAR/camera perception, multi-sensor fusion, and AI infrastructure for autonomous driving.

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.

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.

Skills

Required:Machine Learning for perceptionC++PythonDeep Learning Frameworks

Benefits

  • equity
  • benefits (see company materials)
Last updated Oct 9, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA