The Senior Software Engineer, Edge our company's growing engineering organization and help build the software that runs on the core device layer behind our platform. This role sits within a small, highly impactful team responsible for a hybrid edge system that powers core functionality across video, security, networking, storage, and AI deployment in production environments. You'll work on a resource-conscious, distributed device architecture that spans multiple hardware targets and brings together technologies more commonly seen across both embedded and cloud systems. This is a strong fit for an engineer who enjoys meaningful ownership, thrives in a fast-moving startup environment, and is comfortable building reliable software for systems customers depend on every day.
Location & Travel
Hybrid / Onsite Schedule: Based in Caesarea or Ramat Gan with 2 days a week working from home.
Responsibilities
Contributing to the development of our core edge platform, designed to run across diverse hardware environments as part of a hybrid edge-cloud architecture
Developing and integrating video management capabilities, including streaming, recording, and real-time AI processing
Designing and optimizing systems for low-latency, high-performance workloads at the edge
Building secure and efficient communication pipelines between edge devices and cloud systems
Working closely with AI/ML engineers to deploy and optimize models on-device
Participating in code reviews, debugging, and performance tuning across the stack
Collaborating with a talented team of engineers, AI experts, and leadership in a fast-moving environment
We dont do cookie-cutter. If you dont check every box but youve got the grit, the drive, and the track record-especially in security or AI-we encourage you to apply.
Requirements: 5+ years of experience in software engineering, with a focus on systems or performance-critical applications
Strong experience with modern programming languages such as Go, Rust, or TypeScript
Proven experience with multithreaded and concurrent programming (critical for this role)
Solid understanding of Docker and containerization
Experience working with embedded systems or edge computing environments
Strong understanding of networking and distributed systems fundamentals
Experience building or working with real-time systems
Nice to Have
Experience with video streaming or video pipeline development
Familiarity with storage systems and data management at the edge
Experience integrating with cloud services (e.g., AWS S3, GCP, MQTT, Kafka)
Exposure to deploying or optimizing AI/ML models on edge devices
Background in security concepts (encryption, secure communication, zero trust architectures)
Experience with hardware-aware optimization (CPU/GPU/accelerators).
This position is open to all candidates.