Rahul Aloth Rajan

Senior System & Software Engineer with extensive experience in embedded automotive compute platforms, real-time simulation environments, and high-performance C++ development. Skilled in designing GPU-accelerated pipelines, deterministic embedded execution architectures, and complex system-level integrations for safety-critical domains. Strong foundation in requirements engineering, system architecture, and iterative integration/testing.

Proven expertise in developing SIL/HIL frameworks, high-fidelity simulation environments, and advanced sensor processing pipelines for autonomous and ADAS applications.

Senior Software / Systems Engineer – AD Vehicle Platform Integration at ZF Mobility Solutions (2020-01 – Present)

Integrated high-performance compute platforms and embedded SoCs for deterministic real-time execution, middleware integration, diagnostics, and orchestration of safety-critical functions.

• Integrated high-performance compute platforms and embedded SoCs, enabling deterministic real-time execution, middleware integration, diagnostics, and orchestration of safety-critical functions (Nvidia Drive PX2, Thor, Orin)
• Delivered multi-sensor (camera/radar) system integration including calibration, timing alignment, synchronization, and full validation pipelines (C++ environment)
• Built distributed multi-ECU test frameworks with network verification (SOME/IP, UDP/TCP), real-time performance monitoring, and system-health instrumentation using Scapy-Python environment
• Developed and validated real-time components on safety-critical controllers, ensuring adherence to regulated engineering processes
• Integrated GPU-accelerated and edge-AI modules (TensorRT, Jetson/Drive) and supported secure OTA update flows (Open CV, Video Processing libraries, CNN Algorithm Integration)
• Collaborated across systems, software, networks, safety, cybersecurity, and validation teams in ISO 26262 / ASPICE environments
• Platform development and integration of apps in MCUs

Software Architect – ADAS/AD at Bosch (Robert Bosch GmbH) (2017-01 – 2020-12)

Led perception-validation programs and developed sensor fusion systems for autonomous driving applications.

• Led parts of Daimler's perception-validation program; built KPI-driven test frameworks for LiDAR, radar, and ultrasound using ROS and cloud-based tooling
• Contributed to central-fusion development on Nvidia Drive PX, including LiDAR communication stack integration and MATLAB/Vector/CarMaker-based validation environments (C++ based application stack)
• Developed SIL/HIL/MIL and containerized test setups improving algorithm maturity and release throughput (IPG Carmake, MATLAB, Containerization)

Advanced Software Engineer – ADAS Radar Systems at Aptiv (Delphi Automotive) (2010-01 – 2017-12)

Developed radar-tracking and target-detection algorithms for real-time embedded platforms in ADAS applications.

• Developed radar-tracking and target-detection algorithms (MATLAB/Simulink → C/C++) for real-time embedded platforms
• Built radar-simulation and validation environments enabling closed-loop testing and scenario-based evaluations
• Performed real-time performance tuning and end-to-end integration of sensor models into embedded and distributed systems
• Integration of Tested application algorithms into Embedded SoC's

Software Engineer – Imaging Systems at NeST / Quest Global – Toshiba Medical Systems (2007-01 – 2010-12)

Developed real-time MRI/Ultrasound imaging algorithms and contributed to medical device integration.

• Developed real-time MRI/Ultrasound imaging algorithms in C++/VC++/QT/OpenGL; contributed to DICOM/IHE integration, backend functionality, and device-level validation

B. Tech in Electronics & Communication Engineering – Mahatma Gandhi University