Computer Vision Engineer V

Duration: 12 Months

Payrate: $95-105/HR

The main function of a computer vision engineer is to explore, develop and deliver new cutting-edge technologies that serve the foundation of optical computing. The typical computer vision engineer will be a software engineer with a deep C++ skillset and possess the ability to solve challenging computer vision and image processing problems.

Request Highlights:

• Typical Day: Will help to diagnose and resolve issues; Working on VR-specific tasks.
• By the task- explain the need and let the CW figure out the path- reach out, debug, work independently, find extra information beyond what is required.
• AI / Camera – Collaborate closely with architects and ecosystem stakeholders for network optimizations and distributed SoC IP utilization (GPU vs CPU vs DSP vs NPU, …)
• Prototype the optimized pipeline for different algorithm (ex. eye tracking, hand tacking, etc..) using SoC IP
• Exploring networks from AI research and technology teams and propose right architecture.
• Fully ON-SITE in San Diego, CA
• 2 interviews - one with HM and one with a specialist

• AI / Camera – Collaborate closely with architects and ecosystem stakeholders for network optimizations and distributed SoC IP utilization (GPU vs CPU vs DSP vs NPU, …)
• Prototype the optimized pipeline for different algorithm (ex. eye tracking, hand tacking, etc..) using SoC IP
• Exploring networks from AI research and technology teams and propose right architecture.
• Enable ON device use cases through quantization, compression, and spilt processing.
• As a market specialist, be aware of current market events and typical user behavior in the North America market.
• Study state-of-the-art algorithms in the field of camera-based signal processing
• Suggest, collect, and synthesize requirements and create effective feature roadmap.
• Design new algorithms, or adaptations to existing algorithms, that will enable novel capabilities.
• Collaborate closely with algorithm developers, system architects and designers to support the creation of innovative and impactful experiences.
• Code deliverables in tandem with the engineering team
• Assess and recommend emerging technologies through close partnership with external, industry leading suppliers.
• Analyze and improve efficiency of algorithms.
• Plan, coordinate, and implement security measures to safeguard information in computer files against accidental or unauthorized damage, modification, or disclosure.
• Approve, schedule, plan and supervise the installation and testing of new products and improvements to computer systems.
• Develop standards and guidelines to guide the use and acquisition of software and to protect vulnerable information.

Skills:

• Expert knowledge of C++ computing.
• Knowledge in computer vision and image processing.
• Proficiency in developing a variety of programming languages.
• Excellent communication skills both verbal and written.
• Strong analytical and problem-solving skills.

Education/Experience: Bachelor’s degree in software engineering required.

Must-Have Hard Skills:

• Qualcomm Snapdragon experience
• 2+ years; Understand specific use cases- camera, ISP, Computer Vision knowledge.

Good-to-Have Skills: Knowledge of Qualcomm VSP, camera software