Computer Vision System Engineer
$122,500 - $213,200 USD yearly
Originally posted 18 August 2026 by the employer.
About the role
The team drives architecture definition for deep learning engines and computer vision accelerators, including compute, memory, dataflow, scheduling, quantization, and HW/SW partitioning strategies.
What you'll do
- Drive architecture development for hardware-aware deep learning engines, including support for emerging neural network operators, dataflows, tensor processing pipelines, quantization techniques, and memory hierarchies.
- Analyze neural network workloads and identify architectural enhancements to improve performance, power efficiency, memory bandwidth utilization, and silicon area.
- Define HW/SW partitioning strategies across CPUs, GPUs, DSPs, NPUs, and dedicated accelerators.
- Develop workload characterization methodologies and performance models for computer vision and AI applications.
What you'll need
- Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience, OR Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 1+ year of related work experience, OR PhD in Computer or Electrical Engineering, Computer Science, or related field.
- Deep knowledge of computer vision and neural network algorithms.
- Practical experience translating algorithms into power-efficient, real-time implementations on heterogeneous mobile platforms consisting of CPUs, GPUs, DSPs, NPUs, and dedicated AI accelerators.
- Expertise in hardware-aware algorithm design, deep learning engine architecture, system architecture, and HW/SW co-design.
- Strong programming skills in C/C++ and Python.
Nice to have
- Multiple years of experience developing mobile computer vision and AI systems.
- Deep knowledge of modern neural network architectures, including CNNs, Transformers, Vision Transformers (ViTs), multi-modal perception systems, and hardware-aware model optimization techniques.
- Experience architecting and optimizing deep learning engines (DLEs) or AI accelerators for computer vision workloads.
- Understanding of mobile computer vision applications, including Object Detection and Tracking, Segmentation, Scene Understanding, Image Enhancement and Computational Photography, Motion Estimation and Neural Network-Based Vision Systems.
- Expertise in system architecture and HW/SW partitioning for computer vision and AI workloads.
- Strong understanding of deep learning accelerator architectures, including Tensor processing, optimization, compute and neural network bottlenecks.
- Experience defining real-time hardware architectures for computer vision and deep learning workloads.
- Experience evaluating throughput, latency, power, memory bandwidth, and silicon area trade-offs.
Skills: computer vision, deep learning models, AI accelerators, hardware-aware, neural network architectures
This role has been open 58 days — well below the 81-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
506
|
Median days open
81 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (506 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 100 | 506 |
| Open roles in the wider Software, Firmware & Systems family | 708 | 6157 · 145 employers |
| Median days open | 110 d | 81 d (+29 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: computer vision, deep learning models, AI accelerators, hardware-aware, neural network architectures
Who's hiring in this category
- Qualcomm (this employer) · 102 open roles · median 107 d
- NVIDIA · 90 open roles · median 51 d
- AMD · 41 open roles · median 79 d
- Micron Technology · 27 open roles · median 66 d
- Analog Devices · 19 open roles · median 34 d
- Mobileye · 17 open roles · median 78 d
How we counted: 506 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 16 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.