Gaming - Embedded Software Engineer II

Location:

Onsite 3 days, Sunnyvale, CA

Salary Range:

Up to $95/hr on W2

Introduction

We are seeking a talented and experienced Embedded Software Engineer to design and deploy high-performance computer vision and machine learning pipelines directly onto resource-constrained edge hardware. Join our team and collaborate across software and hardware teams to bridge low-level camera sensor subsystems with on-device neural processing units (NPUs).

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent practical experience.
• Proficiency in Python, and 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.
• Previous AI experience.
• Prior work experience at client or in client's Industry.

Applicants must be able to work directly for Artech on W2.

Preferred Skills & Qualifications

• Hands-on experience developing within the Android camera framework to control, process, route, and transform real-time image streams.
• Experience with model optimization techniques such as quantization, pruning, and hardware-specific compilation for NPUs, GPUs, or DSPs.
• Background in developing low-latency algorithms for real-time edge applications (e.g., biometric verification, image restoration, or on-device language processing).

Day-to-Day Responsibilities

• 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.

Company Benefits & Culture

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and innovative work environment.

For immediate consideration please click APPLY to begin the screening process with Alex. Share your resume at aditya.singh3@artech.com