Senior Radar Systems Architect (Signal/RF/Embedded) - Remote

Rotterdam Innovation City

Delft

Hybrid

EUR 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Relocation support

Remote working options

30 days paid holiday (+3)

Pension plan

Training & certifications

Job summary

Robin Radar in the Netherlands is seeking a senior radar/embedded engineer to push FMCW radar architectures from algorithms to real-time implementations. You will lead hands-on development, collaborate with leading radar scientists, and influence AI/ML integration into signal processing.

This role offers relocation support, flexible remote options, and a team of 30+ nationalities driving high-performance radar solutions.

Qualifications

10+ years of deep technical experience in the top-tier radar/defense industry.
Expert-level knowledge in at least 2 domains: Signal Processing, RF Hardware Design, VHDL/Embedded C++, or Radar Algorithms.
Experience in development of complex Radar or Electronic Warfare systems.
Able to work within the rigorous standards, but flexible to challenge the bureaucracy typically associated with them.
Hands-on, autonomous, and driven by velocity.
Ability to meet the requirements for Defense security clearance.
Fluent in English with the ability to influence and debate technical strategies with the world's leading radar scientists and represent Robin Radar academically.

Responsibilities

Design and optimize next-generation FMCW radar architectures, specifically focusing on signal-to-noise maximization and target classification in complex environments.
Lead the hands-on development of real-time processing engines using VHDL and C++, ensuring lean, ultra-fast execution on embedded hardware.
Develop and implement advanced radar algorithms that outperform industry standards.
Manage the hardware-software interface by defining RF design parameters and ensuring the software stack extracts maximum performance from the physical hardware.
Integrate defense-grade resilience into our commercial stacks, drawing on past experience with contested RF environments.
Work with total autonomy to solve technical bottlenecks and actively challenge current engineering methods and 'the way we do things' to drive technical excellence.
Explore and integrate AI/ML models into the signal processing pipeline to enhance automated threat detection.