Responsibilities

•  Design, develop, and optimize embedded software for silicon-based systems throughout the entire lifecycle, from conceptualization to deployment, ensuring seamless integration and optimal performance.
•  Collaborate with cross-functional teams including hardware engineers, software developers, and machine learning experts to integrate ML models into embedded systems.
•  Architect and implement software frameworks for efficient data processing, device control, and communication protocols.
• Conduct performance analysis, debugging, and optimization of embedded systems for reliability and efficiency.
• Develop software and firmware applications to interact with hardware and third-party interfaces
• Contribute to the architecture and design of the overall AI solution.
• Develop debug and performance analysis tools for AI solution development.
• Play a role in all the phases of embedded AI software development, from requirement gathering, analysis, design, development, testing and final release to customers.
• Provide clear and timely communication related to status and other key aspects of the project to leadership team.
• Develop and maintain software documentation, including specifications, design documents, and test plans.

Minimum Qualifications:

• Bachelor’s in electrical engineering, Computer Engineering, or Computer Science
• Experience with C/C++
• Experience writing Python scripts
• Ability to read and understand board schematics and device datasheets
• Ability to debug embedded software using Oscilloscopes and Logic Analysers
• Experience with SCM tools (GIT or SVN)
• Strong analytical and problem-solving abilities
• Strong communication skills
• Ability to work in a multi-site team environment

Preferred Skills

• 6+ years experience with embedded platforms & embedded software development
• Experience with embedded real-time operating systems
• Experience with development on Windows and Linux
• Knowledge of data structures and object-oriented programming
• Knowledge of Acceleration platforms like GPU, TPU, APU, FPGAs.