Radar GPU Software Engineer — Real-Time Automotive

Aptiv PLC; Carmel (IN); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Relocation assistance

Learning & development

Tuition reimbursement

Paid time off

Job summary

Aptiv PLC is seeking an experienced Automotive GPU Programmer specializing in radar signal processing to develop and optimize GPU-accelerated algorithms for ADAS and autonomous driving. The role focuses on real-time radar processing on GPU platforms and cross-functional integration with automotive systems.

The candidate will work with radar engineers, hardware teams, and software developers to deliver high-performance radar solutions, using CUDA, Nsight, and PerfHUD for profiling and debugging.

Qualifications

• Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Minimum 3 years of GPU programming and radar signal processing experience in automotive or related industries.

Responsibilities

• Design, implement, and optimize radar signal processing algorithms for GPU-based platforms in automotive applications.
• Use GPU parallelism and memory management to achieve real-time, low-latency radar processing.
• Integrate radar processing algorithms with ADAS and autonomous driving systems.
• Diagnose performance bottlenecks and bugs on GPU platforms.
• Collaborate with radar engineers, hardware teams, and software developers to deliver high-performance solutions.
• Create and maintain technical docs and code comments for cross-team communication.

Skills

GPU programming

Radar signal processing

Automotive standards

C/C++

Python

MATLAB

Education

Master’s degree in CS/EE

Tools

CUDA

Nsight

PerfHUD

Job description

Aptiv PLC is seeking an experienced Automotive GPU Programmer specializing in radar signal processing to develop and optimize GPU-accelerated algorithms for ADAS and autonomous driving. The role focuses on real-time radar processing on GPU platforms and cross-functional integration with automotive systems.

The candidate will work with radar engineers, hardware teams, and software developers to deliver high-performance radar solutions, using CUDA, Nsight, and PerfHUD for profiling and debugging.