Tech Lead - Computer Vision

Job Description:

Responsibilities

-Deep Learning and Computer Vision Expertise:

-Lead the incorporation of advanced DL/CV algorithms into system architecture.

-Stay abreast of the latest trends and innovations in computer vision technology.

-Architectural Design:

-Develop and articulate a clear software architecture for computer vision systems.

-Design scalable and modular software systems that align with business objectives.

-Hardware Utilisation Strategy:

-Develop strategies for leveraging hardware capabilities to optimise software performance.

-Collaborate with hardware teams to align software and hardware development efforts.

-Edge Computing Design:

-Define strategies for optimising computer vision and deep learning inference on edge devices.

-Architect solutions for edge computing deployment, ensuring optimal performance on resource-constrained devices.

-Address challenges related to latency and real-time processing.

-Cross-functional Collaboration:

-Collaborate with cross-functional teams, including hardware engineers, software developers, and researchers.

-Facilitate effective communication and coordination among team members.

Qualification & Experience

- Expertise in Visual Inertial SLAM.

- Experience in edge computing and deploying solutions on embedded devices.

- Knowledge of ROS/ROS2 and hardware acceleration using OpenCL/CUDA is a plus.

- Publications in top CV/ML conferences is a plus.

- Understanding of software architecture principles and best practices.

- Excellent leadership and communication skills.

- Bachelor''s or Master''s degree in Computer Science, Electrical Engineering, or a related field.