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Embedded Software and Machine Learning Architect
2 months ago
Blumind is a pioneering semiconductor start-up revolutionizing Edge AI by bringing machine-learning inferencing to the Far Edge, placing it on devices and sensors in all environments.
Our breakthrough analog inferencing engine slashes power consumption, latency, and silicon area by orders of magnitude versus current approaches.
We are seeking a highly motivated and driven professional to contribute to the development of our cutting-edge AI solutions.
About the Role:- 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.
- Collaborate with cross-functional teams 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 Blumind's hardware and third-party interfaces.
- Contribute to the architecture and design of the overall AI solution.
- Work directly with customers to evaluate performance of their application solution on the Blumind HW solution.
- Develop debug and performance analysis tools for AI solution development.
- Play a role in all 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.
- Stay updated with the latest industry trends and emerging technologies in embedded systems and machine learning.
- Bachelor in Electrical Engineering, Computer Engineering, or Computer Science
- Experience with C/C++
- Experience writing Python scripts
- Experience developing ML solutions using PyTorch or TensorFlow
- 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
- 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