This role pays more than
99%
of similar roles. Most pay
$185,375–$259,212
— the shaded band above.
At the midpoint, this role pays about
$352k
versus about
$222k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
929 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 915 roles with salary data.
Senior Manager, Machine Learning Ops Engineering - Automotive will lead a high-performing engineering team within the Autonomous Driving organization to develop and operate large-scale, cloud-native data and machine learning pipelines. The role involves managing end-to-end systems for ingesting, processing, labeling, and validating multimodal sensor data, including camera, lidar, and radar inputs to support autonomous driving features from levels L2 through L4. You will define the technical vision and roadmap while overseeing architecture, execution, and operational excellence for training and evaluation datasets. The position requires expertise in Python, C++, distributed systems, cloud infrastructure, CI/CD, and data platforms. Candidates must possess a strong background in MLOps and experience with domains such as robotics, computer vision, or deep learning to solve complex problems involving high-volume sensor data processing and production-grade system reliability at scale.
Machine Learning
Computer Vision
C++
Python
PyTorch
TensorFlow
Deep Learning
LiDAR
Multi-sensor Fusion
TensorRT
Transformers
Data Pipelines
Model Optimization
Real-time Inference
NVIDIA DRIVE AV