You will own the end-to-end product strategy and execution for AI-enabled edge MPUs, bridging market needs and engineering innovation
Job Summary
You will own the end-to-end product strategy and execution for AI-enabled edge MPUs, bridging market needs and engineering innovation.
Collaborate with engineering on architecture decisions and innovations for heterogeneous compute, AI acceleration, multi-modal pipelines, vision, graphics, safety, security, and connectivity.
Develop competitive positioning, value propositions, and go-to-market strategies to win in Industrial, IoT and Automotive segments.
Matching Summary
You will own the end-to-end product strategy and execution for AI-enabled edge MPUs, bridging market needs and engineering innovation.
Skills & Requirements
Must-have
end-to-end product strategy
AI-enabled edge MPUs
heterogeneous compute architectures
Artificial Intelligence (AI) and Machine Learning (ML) concepts
edge AI applications
cross-functional leadership
Nice-to-have
embedded safety concepts
embedded software development
developer toolchains
Key Requirements
10+ years in product management, product marketing, or systems engineering
BS in Computer Science, Electrical, or Computer Engineering
Demonstrated ability to turn customer requirements into actionable specs