Job Description
We are looking for an Edge AI Systems Engineer to architect intelligent solutions for edge devices across IoT, robotics, and automotive platforms. You’ll be responsible for integrating neural network accelerators with CPUs and GPUs, optimizing system-level performance, and developing firmware and drivers for real-time AI inference. The ideal candidate has experience in embedded systems, AI frameworks, and low-level programming in Linux and RTOS environments.
Qualifications
BS/MS in Electrical Engineering, Computer Science, or related field.
5+ years in embedded systems or edge computing.
Familiarity with AI frameworks and hardware accelerators.
Experience with Linux, RTOS, and low-level programming.
Key Responsibilities
Architect AI solutions for edge devices (IoT, robotics, automotive).
Integrate neural network accelerators with CPUs/GPUs and optimize system-level performance.
Develop firmware and drivers for real-time inference.
Collaborate with hardware and software teams to meet latency and power goals.