Vision Systems Architect
Do uzgodnienia
Wymagania
- C++
- CV
- ML
- ISP
Opis stanowiska
- Owns the end-to-end vision and AI architecture for consumer devices. Defines scalable, power-efficient, and production-ready imaging and perception systems across product lines. Drives technical direction across sensor, ISP, CV, ML, and platform integration.
- Define and own end-to-end vision system architecture (sensor → ISP → CV/ML → application layer).
- Translate product and UX requirements into scalable technical solutions.
- Define image quality strategy aligned with AI and user experience goals.
- Architect reusable, modular CV/ML frameworks across multiple product SKUs.
- Drive system-level trade-offs across performance, power, cost, and thermal limits.
- Define AI model lifecycle strategy from training to OTA deployment.
- Architect heterogeneous compute utilization (CPU/GPU/NPU/DSP).
- Define system KPIs: latency, FPS, power, memory, boot time, and robustness.
- Lead technology selection for inference engines, frameworks, and hardware platforms.
- Guide SoC bring-up and performance validation for vision pipelines.
- Establish coding standards, modularization strategy, and long-term maintainability.
- Identify technical risks early and define mitigation strategies.
- Collaborate with hardware, ISP, Android/Linux platform, and product teams.
- Mentor senior engineers and provide architectural governance.
- Contribute to long-term vision/AI roadmap across product generations.
- Define and own end-to-end vision system architecture (sensor → ISP → CV/ML → application layer).
- Translate product and UX requirements into scalable technical solutions.
- Define image quality strategy aligned with AI and user experience goals.
- Architect reusable, modular CV/ML frameworks across multiple product SKUs.
- Drive system-level trade-offs across performance, power, cost, and thermal limits.
- Define AI model lifecycle strategy from training to OTA deployment.
- Architect heterogeneous compute utilization (CPU/GPU/NPU/DSP).
- Define system KPIs: latency, FPS, power, memory, boot time, and robustness.
- Lead technology selection for inference engines, frameworks, and hardware platforms.
- Guide SoC bring-up and performance validation for vision pipelines.
- Establish coding standards, modularization strategy, and long-term maintainability.
- Identify technical risks early and define mitigation strategies.
- Collaborate with hardware, ISP, Android/Linux platform, and product teams.
- Mentor senior engineers and provide architectural governance.
- Contribute to long-term vision/AI roadmap across product generations.
🔍 Dekoder Ogłoszenia
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Owns the end-to-end vision and AI architecture for consumer devices.
Będziesz odpowiedzialny za całość architektury, co może oznaczać brak wsparcia lub zasobów do realizacji tak szerokiego zakresu obowiązków.
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Drives technical direction across sensor, ISP, CV, ML, and platform integration.
Oczekuje się, że będziesz podejmować kluczowe decyzje techniczne w wielu, często odległych od siebie dziedzinach, co może być przytłaczające bez silnego zespołu.
🔴
Translate product and UX requirements into scalable technical solutions.
Może to oznaczać konieczność radzenia sobie z niejasnymi lub zmieniającymi się wymaganiami biznesowymi i projektowymi.
🔴
Drive system-level trade-offs across performance, power, cost, and thermal limits.
Będziesz musiał balansować między często sprzecznymi wymaganiami, co może prowadzić do kompromisów, które nie zadowolą wszystkich.
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Mentor senior engineers and provide architectural governance.
Oprócz zadań technicznych, będziesz miał obowiązki zarządcze i mentorskie, co może odciągać od czysto architektonicznych wyzwań.