Senior Software Engineer - Edge

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 & TravelHybrid / Onsite Schedule: Based in Caesarea or Ramat Gan with 2 days a week working from home.ResponsibilitiesContributing to the development of our core edge platform, designed to run across diverse hardware environments as part of a hybrid edge-cloud architectureDeveloping and integrating video management capabilities, including streaming, recording, and real-time AI processingDesigning and optimizing systems for low-latency, high-performance workloads at the edgeBuilding secure and efficient communication pipelines between edge devices and cloud systemsWorking closely with AI/ML engineers to deploy and optimize models on-deviceParticipating in code reviews, debugging, and performance tuning across the stackCollaborating with a talented team of engineers, AI experts, and leadership in a fast-moving environment.Requirements: 5 years of experience in software engineering, with a focus on systems or performance-critical applicationsStrong experience with modern programming languages such as Go, Rust, or TypeScriptProven experience with multithreaded and concurrent programming (critical for this role)Solid understanding of Docker and containerizationExperience working with embedded systems or edge computing environmentsStrong understanding of networking and distributed systems fundamentalsExperience building or working with real-time systemsNice to HaveExperience with video streaming or video pipeline developmentFamiliarity with storage systems and data management at the edgeExperience integrating with cloud services (e.g., AWS S3, GCP, MQTT, Kafka)Exposure to deploying or optimizing AI/ML models on edge devicesBackground in security concepts (encryption, secure communication, zero trust architectures)Experience with hardware-aware optimization (CPU/GPU/accelerators).This position is open to all candidates.