Advanced Embedded Systems Developer
5 days ago
Job OpportunityWe are seeking an experienced professional to drive the end-to-end development of our cutting-edge embedded technology stack.Key Responsibilities:
- Oversee the architecture, development, and optimization of embedded firmware, middleware, and system software for high-performance multi-processor ARM-based systems.
- Drive the integration of computer vision, deep learning models, radar signal processing, and embedded systems into efficient and scalable hardware solutions.
- Ensure seamless middleware implementation for real-time inter-process communication, memory management, and low-latency execution on embedded platforms.
- Lead firmware development, ensuring robust device control, driver optimization, and real-time data acquisition from cameras, radars, and sensors.
- Optimize system performance, power efficiency, and reliability for edge computing and AI acceleration applications.
- Develop and optimize Embedded Linux environments, including kernel modifications, device drivers, and system-level optimizations for high-performance computing.
- End-to-End Project Ownership: Drive the full product lifecycle—from concept, design, development, and prototyping to manufacturing, testing, and deployment.
- Team & Stakeholder Management: Collaborate with cross-functional teams (software, hardware, ML engineers) and manage technical challenges, scope, and timelines.
- Execution & Risk Management: Identify and mitigate technical, operational, and execution risks to keep projects on track.
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
- 10+ years of experience in embedded systems, firmware, middleware, and computer vision applications.
- Strong expertise in C/C++, Python for real-time, low-latency applications in computer vision or signal processing.
- Deep understanding of middleware frameworks, multi-core processing, inter-process communication, and Embedded Linux development.
- Hands-on experience with ARM multi-core architectures, and real-time embedded systems.
- Strong expertise in firmware development, low-level device drivers, and kernel-space programming for Embedded Linux.
- Experience with radar signal processing, sensor fusion, and deep learning frameworks (TensorFlow, PyTorch, ONNX, etc.).
- Proven experience managing complex hardware-software integration projects.
- Strong leadership, problem-solving, and project management skills.
- Excellent communication skills to translate technical details to both engineering teams and business stakeholders.
- Entrepreneurial mindset—ability to thrive in a fast-paced, dynamic, and highly technical environment.
The successful candidate will have the opportunity to work on cutting-edge technology that integrates AI, sensor fusion, and high-performance embedded computing, be part of a highly skilled, multidisciplinary engineering team driving innovation, lead end-to-end product development with real-world impact, and shape the future of sports through advanced embedded systems and AI-driven solutions.
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