5 часов назад
Edge Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Edge Software Engineer (AI): Building edge applications, communication layers, and production machine-learning infrastructure for computer-vision security systems with an accent on C++, Linux, GPU-based processing, and constrained-device performance. Focus on deploying and optimizing ML models, building observability and telemetry, and solving reliability challenges across a fleet of edge computers.
Location: Sunnyvale, United States; on-site
Company
develops a cloud-native video security platform that combines computer vision, multimodal AI, real-time alerts, clip sharing, and multi-site visibility.
What you will do
- Build edge applications that process vision data and communication layers on compute-constrained devices.
- Deploy machine-learning models to production and optimize the platform runtime for performance.
- Develop and maintain primarily C++ code, including pipeline components running on GPUs.
- Build observability and telemetry for deployed edge systems.
Requirements
- Bachelor’s or master’s degree in Computer Science.
- 3–8 years of experience with data structures, algorithms, and object-oriented programming.
- Strong C++ programming skills and a strong understanding of Linux.
- Knowledge of another development language, such as Java, Python, or Shell scripting.
- Ability to work in an on-site environment in Sunnyvale.
- Exceptional written and verbal English communication skills.
Nice to have
- Experience with edge or IoT computing and deployed edge-computer fleets.
- Infrastructure management experience with Salt.
- Monitoring experience with Grafana.
- Video processing and streaming experience with GStreamer.
- Experience interfacing with machine-learning models using PyTorch.
Culture & Benefits
- Fast-moving environment focused on clarity, craftsmanship, and impact.
- Opportunity to work on mission-critical AI for real-world security and operations.
- Direct contribution to computer-vision and multimodal-LLM products.
- On-site collaboration within the engineering department.
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