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Design and develop edge runtime systems on NVIDIA Jetson platforms. Build and maintain hardware abstraction layers (HAL) and device integration modules. Integrate various sensors (USB-C, CSI-2, environmental sensors, wearable devices). Optimize AI inference pipelines using CUDA / TensorRT. Implement communication between edge devices and backend systems (MQTT, gRPC). Develop provisioning and device configuration workflows. Ensure system reliability, diagnostics, and offline resilience. Participate in system calibration and data validation workflows (“truth loop”). Collaborate with AI, backend, and hardware teams on system design and delivery. Continuously improve system performance, stability, and maintainability.
Job Responsibility:
Design and develop edge runtime systems on NVIDIA Jetson platforms
Build and maintain hardware abstraction layers (HAL) and device integration modules
Integrate various sensors (USB-C, CSI-2, environmental sensors, wearable devices)
Optimize AI inference pipelines using CUDA / TensorRT
Implement communication between edge devices and backend systems (MQTT, gRPC)
Develop provisioning and device configuration workflows
Ensure system reliability, diagnostics, and offline resilience
Participate in system calibration and data validation workflows (“truth loop”)
Collaborate with AI, backend, and hardware teams on system design and delivery
Continuously improve system performance, stability, and maintainability
Requirements:
Strong experience with C++ (production-level development)
Solid experience with Linux (system-level or embedded environments)
Experience working with embedded systems or edge devices
Experience with GPU acceleration (CUDA and/or TensorRT)
Hands-on experience with hardware integration (sensors, peripherals, or devices)
Understanding of system performance optimization and debugging
Proficiency in AI-driven development tools such as GitHub Copilot, ChatGPT, Cursor IDE, Tabnine, or similar is required
Strong prompt engineering skills to optimize the outputs of AI tools effectively
Critical understanding of the boundaries of AI tools and the ability to apply sound judgment and critical thinking
Utilizing artificial intelligence to debug, refine code quality, and improve documentation for enhanced productivity and workflow reliability
Nice to have:
Experience with NVIDIA Jetson (AGX Orin or similar)
Background in Computer Vision or Edge AI systems
Experience with sensor interfaces (CSI-2, USB, etc.)
Familiarity with MQTT, gRPC, or IoT communication protocols
Experience with Bluetooth, Thread, or other connectivity protocols
Exposure to mmWave or radar-based systems
What we offer:
Flexible working conditions
Cooperative environment
Competitive salary
Many challenging and exciting projects with new opportunities and learning
Growth opportunities, skills and competencies improvement, and professional certification