below marketmost similar roles pay hereabove market
This role pays more than
60%
of similar roles. Most pay
$196,750–$254,750
— the blue band above.
At the midpoint, this role pays about
$236k
versus about
$226k
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
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
JOB TITLE: Senior Machine Learning Engineer, Perception - Autonomous Driving
As a Senior Machine Learning Engineer, Perception - Autonomous Driving, you will join the perception team to develop and productize autonomous driving solutions. You will design end-to-end solutions for perception modules responsible for online mapping, including road layouts, lane structures, boundaries, and crosswalks to enable driving without HD maps. Your daily work involves applied research and development of deep learning models for lane graph construction, road boundary detection, and traffic element recognition. You will prioritize data-driven development by collaborating with data collection and labeling teams to maximize data value and leverage simulation for extreme scenarios. The role requires proficiency in Python, C++, and deep learning frameworks like PyTorch. You will solve complex problems regarding road network detections across diverse environments, including complex intersections and multi-level highways.
What does a Machine Learning Engineer earn in California?
Median $235750 from 200 postings across 34 companies.
Design end-to-end perception solutions for road network detections across diverse driving environments.
Conduct applied research and development of deep learning models for lane graph construction and road boundary detection.
Develop generalizable approaches to support diverse operational design domains and regional expansions.
Prioritize data collection and labeling to maximize the value of data for improving system accuracy.
Leverage data simulation and augmentation techniques to solve extreme driving scenarios.
Productize perception solutions to meet specific requirements for safety, latency, and software robustness.
What we're looking for
PhD with 4+ years, MS with 6+ years, or BS with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
Hands-on experience developing deep learning and algorithms to solve sophisticated real-world problems.
Proficiency in using deep learning frameworks such as PyTorch.
Strong programming skills in Python and/or C++.
Experience in data-driven development and collaboration with data and ground truth teams.
Outstanding communication and teamwork skills.
2+ years of technical leadership demonstrating high technical and organizational complexity (preferred).
Proven expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras (preferred).
Remote (Santa Clara, CA)+425 days ago
$184,000–$287,500
PyTorch
Python
C++
CUDA
Deep Learning
Computer Vision
Transformers
CNN
3D Perception
BEV
Multi-sensor Fusion
LoRA
Vision-Language Models
Active Learning
Model-in-the-loop
Data Strategy
PyTorch
Python
C++
Distributed Training
NCCL
DDP
FSDP
Kubernetes
Slurm
RoCE
Lustre
Deep Learning
Performance Profiling
Reinforcement Learning
Fault Resilience