Technical Lead (Software)

R&D - Software
Navi Mumbai (On-Site)
Mid Level

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Job Description

Job Description:

We are seeking an experienced Architect specialising in Computer Vision software to lead and shape our various development initiatives. The ideal candidate will have a proven track record in marrying deep knowledge and expertise in Computer Vision algorithms with end product realisations of these algorithms by architecting complex software systems, in a modular platform such as ROS (Robot Operating System).


This role involves designing robust software architectures, integrating advanced algorithms, and optimising solutions for real-world UAV applications such as Vision based UAV navigation, object detection/tracking, obstacle avoidance, etc. In some cases this would require processing of not just camera but also other kinds of sensors such as radar, inertial, GPS, etc. Prior experience in developing such multi-modal architectures for applications such as Advanced Driver Assistance Systems (ADAS), Robotics or UAVs would be highly preferred.

Key Requirement & Responsibilities:

Architectural Design:

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

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

ROS Platform Leadership:

   - Provide leadership in the use and optimization of the Robot Operating System (ROS).

   - Guide the development of ROS-based modules for seamless integration.

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:

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

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

Software Optimization Leadership:

   - Lead efforts to optimise software for efficiency, performance, and maintainability.

   - Conduct regular code reviews and provide guidance on optimization techniques.

Cross-functional Collaboration:

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

   - Facilitate effective communication and coordination among team members.

Skills & Qualifications:

- In-depth knowledge of ROS/ROS2, ADAS platforms, and hardware acceleration.

- Strong proficiency in C++, Python, OpenCL, and CUDA programming languages.

- Expertise in deep learning frameworks such as TensorFlow or PyTorch.

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

- Exceptional 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.

Nice to have (s)

Computer Vision Expertise:

   - Lead the incorporation of advanced computer vision algorithms into system architecture.

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

Deep Learning Integration:

   - Define strategies for integrating deep learning techniques to compress and compile machine learning programs.

   - Mentor teams on best practices in deep learning implementation.


Software Architecture
Edge Computing
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