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Magna International

Engineer

Reposted 2 Days Ago
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Hybrid
Bangalore, Bengaluru, Karnataka, IND
Mid level
Hybrid
Bangalore, Bengaluru, Karnataka, IND
Mid level
Develop and prototype radar signal-processing algorithms (FMCW, Doppler, FFT, CFAR) in MATLAB; apply AoA/MIMO and micro-Doppler methods; use ML for radar data; perform sensor fusion, translate research into production code, optimize performance, and collaborate with multidisciplinary teams while aligning to automotive safety standards.
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What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics.

Job Responsibilities:

•    Strong analytical and problem-solving skills
•    Strong foundation in:
o    Digital Signal Processing (DSP)
o    Radar fundamentals (FMCW, chirp design, Doppler processing)
•    Proficiency in MATLAB is mandatory, with extensive experience in:
o    Algorithm development and prototyping
o    Signal processing toolbox usage
o    Data visualization and analysis
•    Experience with:
o    FFT, filtering, spectrograms, time-frequency analysis
o    Detection algorithms (CFAR, thresholding)
o    Statistical signal processing
•    Good understanding of linear algebra, probability, and signal modeling
•    Knowledge of:
o    Micro-Doppler analysis for human activity recognition
o    MIMO radar
o    Angle-of-Arrival estimation techniques such as MUSIC, ESPRIT, CAPON, etc.
•    Experience with Deep Learning / ML models for radar data (CNNs, RNNs) is preferred
•    Familiarity with:
o    Automotive safety regulations (Euro NCAP Occupant Monitoring)
o    Functional safety standards (ISO 26262)
•    Experience in sensor fusion (radar + camera for driver monitoring)
•    Experience translating research algorithms into production code
•    Strong debugging and performance optimization capabilities
•    Effective collaboration across multidisciplinary teams
 

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.


AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.


Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type:

Regular / Permanent

Group:

Magna Electronics

Magna International Bengaluru, Karnataka, IND Office

Magna International Bangalore, Karnataka, India Office

Magna Innovation Campus, Brigade Tech Garden, Bengaluru, Karnataka, India, 560037

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