Edge AI & Computer Vision Engineer (Hybrid)

Experis Technology Group; Sunnyvale (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical Plan

Dental Plan

Vision Plan

401(k) with Match

Weekly Pay

Job summary

Experis Technology Group is seeking a Computer Vision/ Machine Learning Engineer for a role in Sunnyvale, CA. You will design and deploy edge-optimized CV and ML pipelines on resource-constrained hardware, collaborating with software and hardware teams to integrate with camera subsystems.

The ideal candidate has a BS in a technical field and strong experience with Python, C/C++, and edge ML frameworks such as TensorFlow Lite, ONNX Runtime, or PyTorch Edge, plus familiarity with Android

Qualifications

• Bachelor's degree in CS/EE/CE or equivalent.
• Proficiency in Python, C and C++.
• Experience with edge ML frameworks (e.g., TensorFlow Lite, ONNX Runtime, PyTorch Edge).
• Familiarity with Android multimedia/camera subsystem stack.

Responsibilities

• Design and deploy high-performance computer vision and machine learning pipelines onto resource-constrained edge hardware.
• Optimize concurrent ML workloads to maximize throughput and minimize latency for multiple edge features.
• Integrate edge-AI algorithms within the Android camera framework and multimedia subsystems.
• Collaborate across software and hardware teams to bridge camera sensors with on-device neural processing units (NPUs).
• Profile and optimize memory footprint, power consumption, and execution timing to meet on-device constraints.

Skills

Python

C

C++

Edge ML

Android camera

Education

Bachelor's degree in CS/EE/CE or equivalent

Tools

TensorFlow Lite

ONNX Runtime

PyTorch Edge

Job description

Experis Technology Group is seeking a Computer Vision/ Machine Learning Engineer for a role in Sunnyvale, CA. You will design and deploy edge-optimized CV and ML pipelines on resource-constrained hardware, collaborating with software and hardware teams to integrate with camera subsystems.

The ideal candidate has a BS in a technical field and strong experience with Python, C/C++, and edge ML frameworks such as TensorFlow Lite, ONNX Runtime, or PyTorch Edge, plus familiarity with Android