Position Details
About this role
This role involves developing high-performance AI and ML solutions, creating reference architectures, benchmarking, and optimizing AI workloads for embedded and edge platforms, primarily in the semiconductor industry.
Key Responsibilities
- Research and develop AI/ML solutions
- Design system architectures
- Benchmark and analyze performance
- Develop reference architectures
- Guide customer technical engagements
Technical Overview
The position requires expertise in AI/ML frameworks, system architecture, benchmarking tools, and performance tuning for AI accelerators like GPUs and NPUs, with a focus on embedded and edge AI systems.
Ideal Candidate
The ideal candidate is a mid-level AI/ML solutions architect with expertise in developing high-performance AI systems, benchmarking, and reference architecture design. They have experience with embedded and edge AI platforms and can lead technical customer engagements.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in AI/ML system design, No knowledge of performance benchmarking, No experience with embedded or edge AI, No background in system architecture, Lack of customer-facing technical leadership
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