Computer Vision Engineer - Automotive
Hybrid-Remote - Toronto

Our globally recognized client is building a comprehensive set of cloud-connected automotive platforms for telematics and connectivity, computing, and driver assistance and autonomy.  We're assisting in the search for experienced computer vision engineers with deep embedded C++ experience to join their groundbreaking team to develop a new suite of Autonomous Driving and ADAS products for a worldwide customer base.  

 

Responsibilities in this role shall include the following:

• Design and implement APIs and sample code as SDK on PC, Linux, and Automotive embedded platform.
• Implement and optimize computer vision use cases with the SDK for Autonomous driving and ADAS.
• Document the APIs and use cases as reference for the customers.
• Closely collaborate with feature owners and domain/technology experts to define/validate APIs across software and hardware SoC platforms.
• Optimize algorithm implementation for run-time performance on PC/Linux platforms.
• Optimize algorithm implementation on SIMD processors such as ARM NEON and Hexagon DSP on Snapdragon platform.
• Debug in different software environments. Interact closely with internal teams and external customers.

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Must have skills:

• Strong C++ programming skills.
• Development/Debugging on embedded system.

 

Preferred Qualifications:

• 5+ years software or computer vision algorithm development experience  e.g. object detection, tracking, feature detection, 6DOF, SLAM, 3D reconstruction.
• Excellent C++ and Object-Oriented Programming skills demonstrated through relevant industry experience.
• Digital Signal Processing (DSP) and real time systems coding experience.
• Strong skills in analyzing performance of AI/CV solutions on heterogenous architectures (core, cache, memory, bus, etc.).
• Strong background of computer vision algorithms and mathematical linear algebra, geometry, graph algorithms. 
• Strong analytical skills, mathematical knowledge of image processing and computer vision algorithms and performance optimization on various SIMD and DSP architectures
• Expert in DSP assembly/intrinsic and C/C++ programming in image/video/computer vision domains
• 3+ years of hands on experience on DSP algorithms development and optimization.
• Experience with C++11/C++14
• Experience with version control software such as Git.
• Experience with CI/CD process.
• Experience with computer vision toolkits such as OpenCV, Dlib etc.
• Expert in Code Optimization and high performance compute on x86, ARM and DSP environments.
• Experience with GP-GPU programming such as OpenCL.
• Optimization in intrinsic or assembly instructions
• Multi-threading programming experience
• Testing and debugging on embedded systems
• Experience with software process improvements through measurable KPIs
• Candidates with knowledge and experience in the following areas are preferred:
• Familiar with Operating System programming such as QNX, Linux, windows.
• Python experience
• Machine Learning, Neural Networks

How to Apply?
You can apply directly to gord.marriage@talentlab.com  or on our website at www.talentlab.com. We want to thank all applicants for their interest, but only those in consideration will be contacted.