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Embedded Software and Machine Learning Architect
2 months ago
Blumind is a pioneering semiconductor company that is revolutionizing the field of machine learning inferencing by bringing it to the Far Edge. Our innovative analog inferencing engine has the potential to transform Edge AI applications in various industries, including IoT, automotive, Smart Home, and Smart City.
We are seeking a highly motivated and experienced professional to join our team as a Senior or Principal Embedded Machine Learning Designer. As a key member of our team, you will play a crucial role in designing, developing, and optimizing embedded software for our silicon-based systems.
Key Responsibilities- Design and Development: Design, develop, and optimize embedded software for Blumind's silicon-based systems throughout the entire lifecycle, from conceptualization to deployment, ensuring seamless integration and optimal performance.
- Collaboration: Collaborate with cross-functional teams, including hardware engineers, software developers, and machine learning experts, to integrate ML models into embedded systems.
- Architecture and Implementation: Architect and implement software frameworks for efficient data processing, device control, and communication protocols.
- Performance Analysis and Optimization: Conduct performance analysis, debugging, and optimization of embedded systems for reliability and efficiency.
- Software and Firmware Development: Develop software and firmware applications to interact with Blumind's hardware and third-party interfaces.
- AI Solution Architecture: Contribute to the architecture and design of the overall AI solution.
- Customer Evaluation: Work directly with customers to evaluate the performance of their application solution on the Blumind HW solution.
- Debug and Performance Analysis Tools: Develop debug and performance analysis tools for AI solution development.
- Embedded AI Software Development: Play a role in all phases of embedded AI software development, from requirement gathering, analysis, design, development, testing, and final release to customers.
- Communication: Provide clear and timely communication related to status and other key aspects of the project to the leadership team.
- Documentation: Develop and maintain software documentation, including specifications, design documents, and test plans.
- Industry Trends: Stay updated with the latest industry trends and emerging technologies in embedded systems and machine learning.
- Education: Bachelor's degree in Electrical Engineering, Computer Engineering, or Computer Science.
- Experience: 6+ years of experience with embedded platforms and embedded software development.
- Technical Skills: Experience with C/C++, Python scripting, PyTorch or TensorFlow, SCM tools (GIT or SVN), and ability to read and understand board schematics and device datasheets.
- Soft Skills: Strong analytical and problem-solving abilities, strong communication skills, and ability to work in a multi-site team environment.
- Embedded Real-Time Operating Systems: Experience with embedded real-time operating systems.
- Development Environments: Experience with development on Windows and Linux.
- Data Structures and Object-Oriented Programming: Knowledge of data structures and object-oriented programming.
- Acceleration Platforms: Knowledge of acceleration platforms like GPU, TPU, APU, FPGAs.
