Senior Software Engineer, Edge

Lumana is on a mission to empower organizations by unlocking the value of their visual data — not just record the world, but to actually understand it and extract meaningful insights. Our AI video security platform delivers unmatched visibility and control, helping customers enhance security and safety, streamline operations, and respond instantly when it matters most. Founded in 2021, we are backed by tier-one Silicon Valley investors with deep team expertise in AI, computer vision, and machine learning. We are one of the fastest-growing video security companies and recently raised the largest Series A within our industry. We’ve built the most intelligent video security solution on the market — one that sees what matters, acts fast, and prevents what used to be inevitable. At Lumana, teams are small, dynamic, and trusted to lead. We think big, move fast, and execute like owners — because we are. Your impact here won’t be filtered. It will be visible, lasting, and real. Role Description The Senior Software Engineer, Edge Lumana'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, 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 don’t do cookie-cutter. If you don’t check every box but you’ve 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) ✍️ Lumana Hiring Philosophy We spend a lot of time building best-in-class products since we believe a highly differentiated product is easier to sell and support. We aim to provide both pr