low-code developer for AI video security

The company is building an AI video security platform that understands video rather than simply recording it. Founded in 2021, it is backed by tier-one Silicon Valley investors and operates in the video security space, with $64M raised and 50k+ cameras deployed.

• Contribute to the core edge platform running across diverse hardware in a hybrid edge-cloud architecture;
• Develop and integrate video management capabilities, including streaming, recording, and real-time AI processing;
• Design and optimize low-latency, high-performance workloads at the edge;
• Build secure, efficient communication pipelines between edge devices and cloud systems;
• Work with AI/ML engineers to deploy and optimize on-device models;
• Own performance under load by profiling CPU and memory, identifying bottlenecks, and fixing them;
• Participate in code reviews, debugging, and performance tuning across the stack.

• Strong proficiency in Go, Rust, or TypeScript; ideally in two of these technologies;
• Proven experience with multithreaded and concurrent programming and real parallel systems;
• Experience with performance profiling and optimization under real production load on dedicated hardware;
• Experience deploying and managing containerized workloads with Docker;
• Experience building for resource-constrained environments using edge computing or embedded systems;
• Solid networking and distributed systems fundamentals, including reliable communication between edge and cloud;
• Experience with real-time systems and low-latency design and delivery.

• No conditions specified