Senior Machine Learning Engineer, Perception - Autonomous Driving
$184,000 - $356,500 USD yearly
Originally posted 21 September 2026 by the employer — open 0 days.
Develop and productize NVIDIA’s autonomous driving solutions with a focus on perception modules responsible for traffic signal understanding.
About the role
This role involves developing and productizing NVIDIA’s autonomous driving solutions with a focus on perception modules. The work includes traffic signal understanding, encompassing traffic lights, traffic signs, road markings, and construction objects.
What you'll do
- Design end-to-end solutions for Perception and AV stack to enable traffic signal detections.
- Conduct applied research and development of deep learning models for traffic light detection, traffic sign recognition, road marking detection, construction object detection, and text recognition.
- Develop generalizable approaches to support diverse ODDs and Country/region expansion.
- Drive data-driven development by collaborating with data collection and labeling teams.
- Leverage data simulation and augmentation for solving extreme scenarios.
- Productize developed perception solutions by meeting safety, latency, and software robustness requirements.
What you'll need
- PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
- Hands-on work experience in developing deep learning and algorithms to solve real-world problems.
- Proficiency in using deep learning frameworks (e.g., PyTorch).
- Experience in data-driven development and collaboration with data and ground truth teams.
- Strong programming skills in python and/or C++.
Skills: deep learning models, perception modules, autonomous driving, traffic signal understanding, embedded platforms
This role has been open 0 days — well below the 67-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
516
|
Median days open
67 d
|
Median salary
$232k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (516 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 86 | 516 |
| Open roles in the wider Software, Firmware & Systems family | 957 | 5829 · 143 employers |
| Median days open | 67 d | 67 d (same as this employer) |
| Median salary (USD postings) | — | $232k |
Skills observed across this category: deep learning models, perception modules, autonomous driving, traffic signal understanding, embedded platforms
Who's hiring in this category
- Qualcomm · 106 open roles · median 99 d
- NVIDIA (this employer) · 85 open roles · median 67 d
- AMD · 43 open roles · median 62 d
- Micron Technology · 32 open roles · median 39 d
- Mobileye · 25 open roles · median 53 d
- Analog Devices · 14 open roles · median 24 d
How we counted: 516 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 21 Sept 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.