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A deep-tech startup building real-time vision intelligence systems, is looking for an experienced Systems Engineering Lead / System Owner to drive the end-to-end technical execution of a multidisciplinary hardware-software product. This role owns the full system lifecycle - from architecture, integration, and testing to releases, customer deployments, and field readiness.
The ideal candidate is a hands-on technical leader with strong system-level thinking, capable of connecting software, hardware, algorithms, and field operations to ensure the product performs reliably in real-world environments.
Key Responsibilities:
Own end-to-end system integration across software, hardware, sensors, optics, edge compute, communications, power, and mechanical components.
Lead technical execution and delivery, translating product and customer requirements into engineering plans, priorities, and release scopes.
Drive system architecture decisions in collaboration with technical leadership, with a focus on performance, integration, and system constraints.
Define release readiness criteria, including lab testing, field validation, customer demos, deployments, and production readiness.
Establish testing and validation processes, including logging, configuration management, documentation, and troubleshooting workflows.
Lead debugging and root-cause analysis across the full system stack.
Coordinate cross-functional teams (Software, Hardware, Algorithms, Operations, Field teams) to ensure successful execution and delivery.
Balance engineering trade-offs between performance, reliability, cost, manufacturability, timelines, and customer requirements.
Translate field feedback into product improvements and technical enhancements.

A cutting-edge deep-tech startup is looking for a Senior Backend / Full-Stack Developer (backend-leaning) to join its core engineering team and help build advanced vision intelligence systems for early threat detection - including drones, boats, and other targets at the edge of visibility.
This role is ideal for someone who enjoys ownership, working across the stack, solving complex engineering challenges, and building meaningful real-world technology.
What youll do:
Own and build backend services in a distributed, event-driven system
Develop real-time data pipelines between edge devices and operator systems
Design and evolve core system architecture and data flows
Build and maintain features in Vue 3 + TypeScript when needed
Develop and scale a large, production-grade TypeScript codebase
Drive reliability, performance, and scalability in production systems
Work closely with product and engineering in a highly hands-on environment

A deep-tech startup building real-time vision intelligence systems, is looking for a senior applied researcher to take full ownership of a core domain - from research to production. The company is tackling one of the hardest perception challenges - early detection of low-visibility targets such as drones and vessels. The systems are deployed in real-world environments and have direct impact on safety and life-saving operations.
Responsibilities:
Own a computer vision / AI domain end-to-end - from problem definition to production deployment
Develop new algorithms and improve existing models with measurable performance impact
Design and execute experiments, analyze results, and iterate rapidly
Integrate research directly into production systems and codebase
Collaborate closely with researchers and engineers to deliver real-world solutions