5 дней назад
Senior Architect (AI)
240 000 - 295 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Architect (AI): Designing Knightscope's AI-native Signals platform, from edge-device ingestion through cloud processing and customer-facing delivery, with an accent on real-time streaming, event-driven architecture, and AI/ML infrastructure. Focus on fusing autonomous machine and IoT signals, building low-latency model-serving pipelines, and ensuring high availability for mission-critical security use cases.
Location: Full-time, on-site at the Sunnyvale, California headquarters, United States
Base salary: $240,000–$295,000 per year, depending on experience. Equity through stock options.
Company
is a security technology company building an autonomous security service that combines autonomous machines, AI-driven software, and security professionals.
What you will do
- Own the end-to-end architecture of the AI-native Signals platform, from edge sensor and device ingestion to cloud processing and customer-facing delivery.
- Design real-time, event-driven, and streaming data pipelines that fuse signals from autonomous machines, robots, and IoT devices.
- Architect AI/ML infrastructure, model-serving layers, feature pipelines, and MLOps capabilities for actionable alerts and automated responses.
- Define standards for data contracts, APIs, observability, security, reliability, and platform availability.
- Partner with Robotics, ML, Product, and Security Operations teams to translate field requirements into scalable platform capabilities.
- Lead architectural reviews, build-vs-buy decisions, vendor due diligence, technical escalations, and mentoring for senior and staff engineers.
Requirements
- 8+ years of software engineering experience, including 3+ years in a lead architect or principal engineer role.
- Experience architecting large-scale real-time data platforms using streaming, event-driven, or pub/sub architectures such as Kafka, Kinesis, or Pulsar.
- Strong experience with AI/ML systems architecture, model serving, feature pipelines, and MLOps.
- Deep expertise in distributed systems, AWS or other cloud infrastructure, and microservices design.
- Experience with IoT, robotics, or edge-device data ingestion is highly preferred.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience; strong communication and technical leadership skills.
Culture & Benefits
- Work on autonomous security systems combining machines, software, and security operations.
- Medical, dental, and vision insurance.
- 401(k) plan and paid time off.
- Stock options.
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