The company is building an AI video security platform that doesn't just record — it understands. Founded in 2021, backed by tier-one Silicon Valley investors, and one of the fastest-growing companies in the video security space ($64M raised, 50k+ cameras deployed). Small teams, real ownership, direct impact.
The Senior Software Engineer, Edge joins a small, high-impact team building the software layer that runs on companies core device infrastructure. The system is a hybrid edge-cloud architecture spanning video, security, networking, storage, and on-device AI. Resource-constrained, performance-critical, real-time. You'll own how well the software behaves under load — CPU, memory, concurrency — on a dedicated machine where every cycle counts.
Responsibilities:
- Contribute to the core edge platform running across diverse hardware in a hybrid edge-cloud architecture
- Develop and integrate video management capabilities: streaming, recording, real-time AI processing
- Design and optimize for 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 — profile CPU/memory, identify bottlenecks, fix them
- Participate in code reviews, debugging, and performance tuning across the stack
Must-Have Skills:
- Go / Rust / TypeScript (20%) — core stack; strong proficiency in at least one, ideally two
- Multithreaded & concurrent programming (18%) — critical requirement; proven experience with real parallel systems
- Performance profiling & optimization (15%) — CPU/memory management under real production load on dedicated hardware
- Docker & containerization (13%) — deploying and managing containerized workloads
- Edge computing / embedded systems (13%) — experience building for resource-constrained environments
- Networking & distributed systems (12%) — solid fundamentals; building reliable comms between edge and cloud
- Real-time systems (9%) — low-latency design and delivery
Nice-to-Have Skills:
- Video streaming / pipeline development
- Storage systems & data management at the edge
- Cloud services integration (AWS S3, GCP, MQTT, Kafka)
- AI/ML model deployment on edge devices
- Security concepts (encryption, secure communication, zero trust)
Skills Required
- Go / Rust / TypeScript (strong proficiency in at least one, ideally two)
- Multithreaded & concurrent programming experience
- Performance profiling & optimization (CPU/memory under production load)
- Docker & containerization
- Edge computing / embedded systems experience
- Networking & distributed systems fundamentals
- Real-time systems design and delivery
- Video streaming / pipeline development
- Storage systems & data management at the edge
- Cloud services integration (AWS S3, GCP, MQTT, Kafka)
- AI/ML model deployment on edge devices
- Security concepts (encryption, secure communication, zero trust)
What We Do
Commit is a global tech services company with offices in Israel, US, Canada, UK, and Europe. The company was founded in 2005 and has over 700 multi-disciplinary innovation experts who serve a broad range of companies, from small startups to large enterprises in multiple business sectors. Commit specializes in advanced technologies and applications with dedicated practices in Cloud, GenAI, Software, IoT, Big Data, Cyber, Collaboration, Data center migration projects, and more. Commit offers innovative, end-to-end technology solutions by developing custom software and IoT platforms for clients looking to build their next-gen products within the modern ICT world. Commit’s complete and comprehensive engineering powerhouse of resources, and proprietary Flexible R&D methodology helps transform its clients’ technology visions into high-quality products while reducing costs and improving time-to-market.
