Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field with at least 2 years of relevant experience; alternatively, a master's degree with at least 1 year of relevant experience, or a PhD in a related field.
Required Previous Experiences
At least 2 years of hardware, software, systems, or related engineering experience for bachelor's-degree candidates.
At least 1 year of hardware, software, systems, or related engineering experience for master's-degree candidates.
Preferred Qualifications
Familiarity with hardware modeling, FPGA prototyping, or RTL design.
Algorithm–hardware co-design for edge AI.
Model-efficiency techniques such as quantization, pruning, or distillation.
Real-time computer vision systems or embedded AI deployment.
Experience with performance profiling tools and hardware simulators.