12 часов назад
Distinguished Technologist, Edge AI Architect (Edge AI)
174 050 - 278 450$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Distinguished Technologist, Edge AI Architect (Edge AI): Architecting and governing a full-stack Edge AI platform spanning hardware enablement, secure operating-system foundations, inference serving, agentic runtimes, fleet management, and model lifecycle systems with an accent on cross-layer integration, security, and edge-to-cloud orchestration. Focus on designing model governance, scalable inference routing, hardware-rooted trust, multimodal runtimes, and distributed lifecycle management across heterogeneous silicon.
Location: Palo Alto, California, United States of America
Salary: $174,050–$278,450 USD annually, with additional bonus and/or equity opportunities for candidates in the United States.
Company
develops technology products and platforms, including secure and mobile Edge AI solutions.
What you will do
- Own the multi-year technical roadmap and architectural vision for a full-stack Edge AI platform.
- Define cross-layer architecture and interface contracts across hardware, operating systems, security, inference, agentic runtimes, and model management.
- Architect model registries and lifecycle systems covering versioning, signing, evaluation, promotion, provenance, and rollback across distributed fleets.
- Set the architecture for agentic runtimes, agent-creation tooling, inference gateways, model serving, and request routing.
- Design control planes, telemetry, cost-management, fleet lifecycle, and edge-to-cloud handoff frameworks optimized for latency, privacy, cost, and performance.
- Guide cross-functional architecture decisions, communicate strategy to executives and customers, establish engineering standards, and mentor technical leaders.
Requirements
- Four-year or graduate degree in Computer Science, Information Technology, Software Engineering, or a related discipline, or equivalent experience.
- Typically 12+ years of experience in software development, software architecture, programming, or a related field.
- Experience architecting multiple layers of a modern AI stack, from hardware and operating-system enablement to inference serving, agentic runtimes, and model lifecycle management.
- Knowledge of LLMs, vision-language models, multimodal AI, agentic systems, inference optimization, Edge AI, distributed systems, and hybrid deployment.
- Experience with security foundations, heterogeneous silicon, GPU or accelerator computing, fleet management, observability, Kubernetes, Docker, microservices, MLOps/LLMOps, and CI/CD.
- Proficiency in Python, C++, Rust, or similar programming languages, plus strong communication and cross-functional leadership skills.
Nice to have
- Programming language certification in Python, C++, Rust, Java, or a similar language.
- Cloud or platform architecture certification, such as AWS, Azure, or CNCF/Kubernetes.
Culture & Benefits
- Health, dental, and vision insurance.
- Short- and long-term disability coverage, life insurance, and an employee assistance program.
- Flexible spending account and generous paid time-off policies.
- Four to twelve weeks of fully paid parental leave based on tenure.
- Eleven paid holidays plus flexible paid vacation and sick leave.
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