Camera Engineer

EngineersOfAI; Germany (OH); In loco; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Helsing is seeking a Camera Engineer to own the imaging stack from lens to data pipeline, translating mission needs into hardware specifications and working with optical physics, electrical engineering and computer vision teams.

You will define imaging architecture, select lens and sensor combinations, and ensure data quality from prototype to deployment in real-world conditions.

This role is not a research position; outcomes directly impact AI-enabled defence systems and mission success.

Descrizione del lavoro

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams - and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

Helsing builds AI that works in the field, under real conditions, against real constraints. The Camera Engineer owns the imaging stack that makes that possible. From photon to bit, you define the hardware architecture that feeds our AI with the highest-quality, precisely timed sensor data

You will translate mission requirements into concrete specifications for lenses, sensors, and data pipelines. You will work inside a multidisciplinary team spanning optical physics, electrical engineering, and computer vision, and you will see your designs move from prototype to operational deployment.

This is not a research role. The systems you build have real-world consequence

The day-to-day

• Define imaging architecture. Select lens and sensor combinations, align specifications with the AI team, and own the technical trade-offs between optical performance and algorithm requirements.
• Implement low-level logic. Write FPGA firmware to handle high-speed sensor interfaces and hardware-based synchronisation.