Live opening · Posted 7 hours ago
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About the role
Description supplied by the original job listing.
As a Senior Radar Signal Processing Engineer, you will play a key role in ensuring robust performance of automotive radar systems in series production. You will address complex signal processing challenges after Start of Production (SOP), adapt platform-based solutions to customer-specific needs, and actively shape the future of radar signal processing in automated driving.
You will work in a highly collaborative, international environment where your technical expertise, analytical mindset, and mentoring skills make a real impact on product quality and customer satisfaction.
Your main responsibilities include:
Analyze and resolve complex radar signal processing (RSP) issues in series production to ensure optimal system performance and reliability.
Develop and customize radar signal processing features based on existing platform solutions for different customer projects.
Define and implement customer-specific RSP variants in close collaboration with internal and external stakeholders.
Act as a technical interface between manufacturing, engineering, and quality teams to support efficient problem resolution.
Mentor and support colleagues on advanced RSP topics, fostering knowledge sharing and continuous learning.
Monitor technology trends and customer feedback to support future RSP development and cost optimization.
Drive process improvements within RSP engineering to increase efficiency and quality.
What distinguishes you?
Education
Master’s or PhD degree in Electrical Engineering, Robotics, Physics, or a comparable technical field
Experience
At least 4 years of professional experience in signal processing or automotive radar development.
Prior hands-on experience in Radar Signal Processing is a strong advantage, but not a strict requirement.
Know-how
Advanced programming skills in MATLAB and Python
Intermediate experience with C++
Practical knowledge of VS Code, Git, and Jira
Experience with Lauterbach TRACE32 debugging is a plus
Familiarity with Automated Driving / ADAS systems is an advantage
Languages
English (mandatory)
Portuguese (preferred)
Working Style and Methods
Structured and analytical approach to problem-solving
Experience with standardized documentation and systematic debugging
Enjoy working in cross-functional, international teams
Openness to regular feedback and continuous improvement
Interest in process optimization and knowledge sharing
Personality
Analytical and detail-oriented, with a strong data-driven mindset
Collaborative communicator who enjoys working with diverse teams
Adaptable and proactive, even in a dynamic or high-pressure environment
Self-organized, methodical, and reliable
Motivated to coach and support others
Employment type
Full-time
Work arrangement
Hybrid
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