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Edge AI MPU Product Manager (AI)
Описание вакансии
Текст:
TL;DR
Edge AI MPU Product Manager (AI): Defining and executing product strategy for AI-enabled edge MPUs, bridging market needs with engineering innovation for smart devices. Focus on collaborating on architecture decisions, solving system-level challenges, and driving market leadership in Industrial IoT, Automotive, and emerging edge applications.
Location: Onsite in Austin, Oakhill Office, United States. This role requires domestic and international travel.
Company
N.V. is a world leader in secure connectivity solutions for embedded applications, enabling a smarter, safer, and more sustainable world.
What you will do
- Define and own the product vision and roadmap for AI-enabled edge MPUs, aligning with market trends and customer needs.
- Translate market problems into clear PRDs, feature specs, and phased roadmaps; make data-driven trade-offs.
- Collaborate with engineering on architecture decisions and innovations for heterogeneous compute, AI acceleration, and multi-modal pipelines.
- Lead cross-functional teams (engineering, go-to-market, sales, applications, operations) throughout the product lifecycle.
- Develop competitive positioning, value propositions, and go-to-market strategies for Industrial, IoT, and Automotive segments.
- Build data-driven business cases and pricing strategies that deliver revenue growth and market share.
Requirements
- BS in Computer Science, Electrical, or Computer Engineering.
- 10+ years in product management, product marketing, or systems engineering for MPUs, SoCs, or embedded systems.
- Demonstrated ability to turn customer requirements into actionable specs for hardware, software, and systems teams.
- Strong understanding of heterogeneous compute architectures (CPU/GPU/NPU/DSP), memory systems, and interconnects.
- Solid understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts, algorithms, frameworks, and toolchains.
- Familiarity with edge AI applications, including computer vision, natural language processing, and sensor fusion in embedded systems.
Nice to have
- Understanding of embedded safety concepts (ASIL/SIL), reliability, and security.
- Experience with embedded software development, operating systems (Linux, RTOS), and developer toolchains.
- Exceptional communication, presentation, and people skills, with the ability to influence and collaborate effectively.
Culture & Benefits
- Access to online and offline learning opportunities for career development.
- Commitment to sustainability and measurable year-on-year progress.
- Inclusive work environment with programs focused on diversity, inclusion, and equality.
- Opportunity to influence technology that transforms industries.