Embedded Software Engineer II

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

Our client, a leading innovator in the technology industry, is seeking a Computer Vision/ Machine LearningEngineer to join their dynamic team. You will be an integral part of the Engineering Department supporting the development of cutting-edge computer vision and machine learning solutions. The ideal candidate will demonstrate strong problem-solving skills, adaptability, and a collaborative spirit, which will align successfully within the organization.

Job Title

Computer Vision/ Machine LearningEngineer

Location

Sunnyvale, CA (hybrid, 3 days in office)

What's the Job?

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

What's Needed?

• Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent practical experience.
• Proficiency in Python, C, and C++ for low-level software development and optimization.
• Experience with machine learning frameworks optimized for edge deployment, such as TensorFlow Lite, ONNX Runtime, or PyTorch Edge.
• Familiarity with the Android platform stack, specifically regarding multimedia or camera subsystem integration.
• Solid understanding of computer vision fundamentals, digital signal processing (DSP), or basic camera architectures.

What's in it for me?

• Opportunity to work on innovative projects at the forefront of edge AI technology.
• Collaborate with talented professionals in a supportive and inclusive environment.
• Enhance your skills with exposure to cutting-edge tools and frameworks.
• Be part of a company committed to fostering diversity and inclusion.
• Contribute to impactful solutions that improve user experiences worldwide.

Upon completion of waiting period, consultants are eligible for:

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay