Autonomous Driving Data Replay Engineer

HUMAN-AI-Z Nexus Technology; Dubai; On-site; AED 27,000 - 46,000; Full time

Job summary

HUMAN-AI-Z Nexus Technology in Pune, India, is seeking a data replay engineer to build, deploy, and operate autonomous driving data replay environments. You will handle software-in-the-loop and hardware-in-the-loop testing, replay real-world sensor data, and evaluate algorithm quality using replay results.

You will work with algorithm, testing, and overseas R&D teams, perform issue analysis, reproduce problems, and contribute to improving the data replay toolchain and workflows.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Vehicle Engineering, Automation, Electronic Engineering or related discipline.
• Degree from a top-tier university in India is preferred.

Responsibilities

• Build, deploy, maintain, and operate autonomous driving data replay environments (SIL/HIL).
• Replay, process, and analyze real-world vehicle data (camera, LiDAR, radar, bus data).
• Evaluate performance of autonomous driving/ADAS algorithms using real-world data and replay results.
• Support reproduction of issues, root-cause analysis, and verification after software iterations.
• Operate data replay workstations, servers, and network equipment to ensure stable execution.
• Collaborate with algorithm, testing, and overseas R&D teams to analyze issues and improve quality.
• Prepare test results and analysis reports when required.
• Improve data replay toolchain and automation to boost data processing efficiency.

Skills

Ubuntu/Linux

Python

C/C++

SIL/HIL testing

Data processing

Algorithm validation

Test automation

Sensor data

Education

Bachelor's degree in CS/Engineering

Top-tier Indian university preferred

Tools

Linux servers

Job description

HUMAN-AI-Z Nexus Technology in Pune, India, is seeking a data replay engineer to build, deploy, and operate autonomous driving data replay environments. You will handle software-in-the-loop and hardware-in-the-loop testing, replay real-world sensor data, and evaluate algorithm quality using replay results.

You will work with algorithm, testing, and overseas R&D teams, perform issue analysis, reproduce problems, and contribute to improving the data replay toolchain and workflows.