Signal Processing Engineer

Orbint GmbH; München; Hybrid; EUR 70,000 - 100,000; Full time

Job summary

Orbint GmbH in Munich is seeking a Signal Processing Engineer to design and operate core simulation frameworks for our system and payload design. You will evaluate these frameworks using real signals to ensure performance guarantees and to enhance value for users.

The role sits at the intersection of signal processing, RF systems and mission engineering, requiring collaboration across teams to build scalable simulations, validate models with real data and deliver actionable insights.

Qualifications

• Master's or PhD in Electrical/Communications Engineering or related field with emphasis on DSP and RF systems.
• Strong understanding of estimation theory and modern signal structures.
• Experience building simulation frameworks for RF systems; proficiency in Python and C++.

Responsibilities

• Design and maintain high-fidelity simulation environments for RF signal environments, receivers and processing chains on LEO satellites.
• Model a wide range of signals, propagation conditions and interference.
• Develop and evaluate algorithms for detection, classification, estimation and geolocation.
• Run large-scale simulations and translate results into actionable insights.
• Build reusable APIs and tooling for other teams to run scenarios.
• Integrate real mission data to validate models.

Skills

Signal processing

DSP

Python

C++

MATLAB

Git

CI/CD

Software engineering

Education

Master's or PhD in Electrical / Communications Engineering or related

Tools

MATLAB

Python

C++

Job description

As a Signal Processing Engineer, you will be responsible for designing and operating the core simulation frameworks that underpin our system and payload design. You will evaluate these frameworks using real signals to ensure our performance guarantees and, ultimately, to enhance the value we deliver to our users.

You will work at the intersection of signal processing, RF systems, and mission engineering:

• Design, implement and maintain high-fidelity simulation environments for RF signal environments, receivers and processing chains on LEO satellites.
• Model a wide range of signals of interest, realistic propagation and interference conditions.
• Develop and evaluate algorithms for detection, classification, parameter estimation and geolocation.
• Run large-scale simulations and translate them into operationally meaningful insights.
• Build clean, reusable APIs and tooling so that other teams can easily run scenarios.
• Integrate real mission data to validate your models.

About You

We do not expect a perfect match to every bullet point, but you should recognize yourself in most of the profile below.

Core Technical Profile

• Master's or PhD in Electrical / Communications Engineering, Aerospace Engineering, Physics, Computer Science or a related field with strong emphasis on digital signal processing and RF systems.
• Solid understanding of estimation theory, signal processing, and modern communication / signal structures.
• Practical experience building simulation frameworks for RF systems.
• Strong programming skills in Python and/or C++; experience with MATLAB or C++ is a plus.
• Comfortable with software engineering best practices: Git, testing, code review, CI/CD, documentation, and collaborative workflows.

SIGINT / Defence Domain (Strong Plus)

• Understanding of defence and security user needs.

General

• Structured, analytical working style with strong problem-solving skills and a high bar for technical quality.
• Ability to take ownership from concept through implementation to internal adoption.
• Strong communication skills: you can explain complex technical trade-offs clearly to engineers, management, and customers.
• Very good command of English (spoken and written); German is an asset.
• Eligibility for security clearance.

Why Orbint

At Orbint, you will be joining an ambitious team where your work directly shapes a new space-based SIGINT capability for European defence and security. From designing advanced RF payloads to developing the onboard and ground software that power our satellites — our team is shaping the future of space-based RF sensing.