Automotive Radar GPU Software Engineer (Real-Time CUDA)

Aptiv

Indiana (PA)

On-site

USD 110,000 - 150,000

Full time

4 days ago

Be an early applicant

Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Health insurance

Relocation assistance

Tuition reimbursement

Paid Time Off

Life and accident insurance

Learning and development opportunities

Discount programs with manufacturers

Job summary

Aptiv seeks an experienced Automotive GPU Programmer specializing in Radar Signal Processing to join our team. You will design and optimize GPU-based radar processing algorithms for real-time ADAS and autonomous driving applications.

Collaborate with radar engineers, hardware teams, and software developers to deliver high-performance radar solutions, troubleshoot performance bottlenecks, and contribute to documentation. Master’s degree and 3+ years in GPU radar work are expected.

Qualifications

Master’s degree in Computer Science, Electrical Engineering, or related field.
3+ years of GPU programming and radar signal processing for automotive or related industries.
CUDA expertise with real-time processing; knowledge of radar algorithms and ADAS standards.
Proficiency in C/C++, Python, MATLAB; experience with GPU profiling/debugging tools.

Responsibilities

Design, implement, and optimize radar signal processing algorithms for GPU-based platforms.
Utilize GPU parallelism and memory management to achieve real-time performance.
Integrate and test radar processing algorithms within ADAS and autonomous driving systems.
Diagnose performance bottlenecks and fix issues on GPU platforms.
Collaborate with radar system engineers, hardware teams, and software developers to deliver high-performance solutions.
Develop and maintain technical documentation, code comments, and guides.