Senior Software Engineer, Egde

Commit; Warszawa; On-site; PLN 50,000 - 80,000; Full time

Job summary

Commit is seeking a Senior Software Engineer to join a small, high-impact team responsible for developing the software layer of an AI video security platform. This role focuses on building the edge computing architecture and will involve optimizing performance under load.

The successful candidate will have a strong proficiency in Go, Rust, or TypeScript, and solid experience in concurrent programming and performance profiling. Join a rapidly growing company backed by top-tier investors in Warsaw, Poland.

Qualifications

• Strong proficiency in Go, Rust, or TypeScript. Ideally, experience with two of these.
• Proven experience in multithreaded and concurrent programming.
• Experience in performance profiling and optimization under production loads.

Responsibilities

• Contribute to the core edge platform in a hybrid edge-cloud architecture.
• Develop video management capabilities including streaming and real-time AI processing.
• Optimize for low-latency, high-performance workloads on edge devices.

Skills

Go

Rust

TypeScript

Multithreaded programming

Performance profiling

Docker

Edge computing

Networking

Real-time systems

Job description

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.

Senior Software Engineer, Edge

Joins a small, high-impact team building the software layer that runs on Lumana's 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

Requirements

• 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