Senior Software Engineer, Edge
Indexed description
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.
- 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
- 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
- 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)
Our Interview Process
We keep it focused and respectful of your time—our typical process includes:
- A 30-minute conversation with our Talent Team to learn more about you and share what we're building
- A 45-minute interview with our CTO to dive into your background and experience
- At-Home Assignment (3 hour)
- A 90-minute technical session in office with our Team to dive into your assignment, systems thinking, and coding familiarity
- A 60-minute conversation with our CTO to dive into your assignment
✨ What We Offer
We believe great talent deserves great support. Here’s how we invest in you:
- Competitive Pay: A strong base salary that reflects your experience, impact, and market value
- Equity & Upside: Own a piece of what you're building with meaningful equity in a fast-growing startup
- Tools that Work for You: Get access to top-tier tech and a fully equipped workspace—both in-office and at home
- Hybrid Flexibility: Enjoy a balanced schedule with two remote workdays each week after ramp-up
- Product Influence: Your voice matters—your hands-on feedback directly shapes our product roadmap
- Monthly 10Biz allowance: 1,000 shekel
- Travel allowance: 500 shekel
- Vacation: 14 days, with up to 21 days carry over; Sick pay from day 1
- Keren Hishtalmut (Study Fund) match
- Equipment: Laptop provided, and ILS 700 reimbursable home office setup allowance used within first 6 months
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