Radar Systems GPU Software engineer

Aptiv • Carmel, IN

1d

About The Position

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.

Requirements

• Master’s degree in Computer Science, Electrical Engineering, or a related field.
• 3+ years of experience in GPU programming and radar signal processing for automotive or related industries.
• Expertise in CUDA with a focus on real-time processing.
• Strong knowledge of radar algorithms (FFT, Doppler processing, CFAR, etc.) and experience with radar sensor data.
• Familiarity with ADAS standards (e.g., ISO 26262, AUTOSAR) and radar system requirements.
• Proficiency in C/C++, Python, and MATLAB.
• Experience with GPU profiling and debugging tools like Nsight, PerfHUD, or similar tools.

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.

Benefits

• Private health care effective day 1 of employment
• Life and accident insurance
• Paid Time Off (Holidays, Vacation, Designated time off, Parental leave)
• Relocation assistance may be available
• Learning and development opportunities
• Discount programs with various manufacturers and retailers
• Recognition for innovation and excellence
• Opportunities to give back to the community
• Tuition Reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Senior