Originally posted 2 September 2026 by the employer — open 15 days.
Work on CVflow for edge computer vision acceleration.
About the role
This role involves building and improving Classical CV and NNISP acceleration pipelines on CVflow for Ambarella's AI Vision Processors.
What you'll do
- Port and optimize classical computer vision algorithms onto CVflow (e.g., image processing, filtering, optical flow, radar/LiDAR point cloud processing).
- Perform NNISP model porting for neural network–based ISP pipelines.
- Develop efficient implementations on NVP (Neural Vector Processor) and GVP (General Vector Processor).
- Optimize compute performance and memory efficiency.
- Ensure real-time performance on edge hardware platforms.
- Collaborate with cross-functional teams (algorithm / system / hardware).
What you'll need
- Familiarity with embedded systems (ARM-based).
- Understanding of multithreading (Linux or RTOS).
- Experience in debugging and performance optimization.
- Background in image processing or computer vision.
Nice to have
- Experience with edge AI or computer vision pipelines.
- Exposure to hardware accelerators, SIMD, or vector processing.
- Experience with AI-assisted coding tools (e.g., Cursor or similar).
- Familiarity with Python or deep learning frameworks (e.g., PyTorch).
Skills: CVflow, computer vision, NNISP, hardware accelerators, vector processing, edge AI
This role has been open 15 days — well below the 65-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
518
|
Median days open
65 d
|
Median salary
$226k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Ambarella | All employers we track in this specialty (518 roles · 78 employers) |
|---|---|---|
| Open roles in this specialty | 5 | 518 |
| Open roles in the wider Software, Firmware & Systems family | 20 | 5791 · 144 employers |
| Median days open | 183 d | 65 d (+118 d vs this employer) |
| Median salary (USD postings) | — | $226k |
Skills observed across this category: CVflow, computer vision, NNISP, hardware accelerators, vector processing, edge AI
Who's hiring in this category
- Qualcomm · 107 open roles · median 98 d
- NVIDIA · 87 open roles · median 64 d
- AMD · 43 open roles · median 69 d
- Micron Technology · 29 open roles · median 41 d
- Mobileye · 25 open roles · median 51 d
- Analog Devices · 14 open roles · median 20 d
How we counted: 518 open AI/ML Hardware Engineering (AI ML Hardware) roles from 78 employers tracked in the SemiconductorJobs index, counted 17 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.