2 дня назад
Graduate Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Graduate Software Engineer (AI) (Golang/Python/Computer Vision): Building cloud-native video intelligence systems that ingest and process video and sensor data, deliver natural-language search and real-time detections, and connect ML pipelines with edge devices with an accent on multimodal LLMs, computer vision, and scalable backend services. Focus on designing distributed real-time systems, developing high-availability APIs and infrastructure, and shipping AI-assisted features to production.
Location: Sunnyvale, United States; on-site
Company
develops a cloud-native video security platform using computer vision and AI to improve safety, operational awareness, and decision-making.
What you will do
- Build services that ingest, process, and serve video and sensor data at scale.
- Develop natural-language video search, real-time detections, and agentic workflows using multimodal LLMs and computer vision.
- Work on backend services in Golang and Python.
- Build user-facing frontends with TypeScript and React in collaboration with product.
- Develop APIs and systems connecting ML pipelines with an edge device fleet.
- Contribute to Kubernetes, AWS, Pulumi, distributed systems, real-time processing, and high-availability architecture.
Requirements
- Bachelor’s degree in Computer Science or a related field.
- Solid programming fundamentals in at least one modern programming language and willingness to learn others.
- Evidence of building software beyond coursework, such as side projects, internships, open-source work, hackathons, or personal applications.
- Genuine curiosity about AI and its future development.
- Resilience and adaptability in a fast-paced environment where solutions are not always known in advance.
Culture & Benefits
- On-site work alongside engineers who designed the systems being developed.
- Production code contributions begin during the first weeks.
- Code reviews and increasing ownership as experience grows.
- Daily use of AI-assisted development tools across the engineering team.
- Fast-moving environment focused on clarity, craftsmanship, and meaningful impact.
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