Senior Machine Learning Engineer, Perception - Autonomous Driving - United States
$184,000 - $356,500 USD yearly
Originally posted 6 October 2026 by the employer.
About the role
This role involves building the machine learning backbone of the Perception component for NVIDIA DRIVE AV, focusing on computer vision, LiDAR & camera perception, multi-sensor fusion, and AI infrastructure. You will work on inventing human-level AI for perception under real world conditions.
What you'll do
- Design, train, and optimize machine learning models for LiDAR/camera perception and multi-sensor fusion (e.g., object detection/classification, image classification, semantic segmentation, tracking).
- Develop and coordinate ML workflows, covering data pipelines, model training, model metrics, continuous performance instrumentation, and reporting.
- Take ML models and algorithms to product level on the NVIDIA DRIVE AV platform, developing product code in C++.
- Incorporate new machine learning techniques to improve platform performance.
- Collaborate with LiDAR/camera teams, developers, engineers, and managers for autonomous driving solutions.
What you'll need
- MS or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
- 8+ years of relevant 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.
- 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.
- Experience building and sustaining training and essential metric workflows for large-scale datasets.
Skills: machine learning models, LiDAR/camera perception, multi-sensor fusion, autonomous driving, deep learning frameworks
This role has been open 4 days — well below the 76-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
512
|
Median days open
76 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (512 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 87 | 512 |
| Open roles in the wider Software, Firmware & Systems family | 942 | 6025 · 146 employers |
| Median days open | 53 d | 76 d (−23 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: machine learning models, LiDAR/camera perception, multi-sensor fusion, autonomous driving, deep learning frameworks
Who's hiring in this category
- Qualcomm · 98 open roles · median 115 d
- NVIDIA (this employer) · 89 open roles · median 54 d
- AMD · 41 open roles · median 67 d
- Micron Technology · 28 open roles · median 66 d
- Mobileye · 19 open roles · median 73 d
- Analog Devices · 17 open roles · median 29 d
How we counted: 512 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 11 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.