Radar Systems GPU SW Engineer
Aptiv, Carmel, IN, United States
Join Aptiv, a global leader in radar technology, revolutionizing the automotive industry with innovative solutions. Our radar development team pioneers cutting-edge advancements that redefine safety and performance standards worldwide.
Job Description:
We are seeking an experienced Automotive GPU Programmer specializing in Radar Signal Processing to join our team. This role involves developing and optimizing GPU-accelerated algorithms for automotive radar systems, supporting advanced driver-assistance systems (ADAS) and autonomous driving capabilities. The ideal candidate will have a deep understanding of GPU programming, radar signal processing, and automotive system requirements.
Responsibilities
- Algorithm Development: Design, implement, and optimize radar signal processing algorithms for GPU-based platforms in automotive applications.
- Performance Optimization: Utilize GPU parallelism and memory management techniques to optimize radar processing algorithms, ensuring real-time performance and low-latency processing.
- Integration & Testing: Work closely with cross-functional teams to integrate and test radar processing algorithms within ADAS and autonomous driving systems.
- System Debugging & Troubleshooting: Diagnose and resolve performance bottlenecks, bugs, and issues related to radar processing on GPU platforms.
- Collaborative Development: Collaborate with radar system engineers, hardware teams, and software developers to align on requirements and deliver high-performance solutions.
- Documentation: Develop and maintain technical documentation, code comments, and relevant guides to ensure clear communication across teams.
Qualifications
- Education: Master's degree in Computer Science, Electrical Engineering, or a related field.
- Experience: 3+ years of experience in GPU programming and radar signal processing for automotive or related industries.
Technical Skills:
- GPU Programming: Expertise in CUDA with a focus on real-time processing.
- Radar Signal Processing: Strong knowledge of radar algorithms (FFT, Doppler processing, CFAR, etc.) and experience with radar sensor data.
- Automotive Standards: Familiarity with ADAS standards (e.g., ISO 26262, AUTOSAR) and radar system requirements.
- Programming Languages: Proficiency in C/C++, Python, and MATLAB.
- Debugging & Profiling Tools: Experience with GPU profiling and debugging tools like Nsight, PerfHUD, or similar tools.
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