ADAS & Autonomous Driving Data Replay Engineer – SIL/HIL

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

Location: Pune, Maharashtra Work Mode: Mandatory Work from Office

Key Responsibilities

Build, deploy, maintain, and operate autonomous driving data replay environments, including both Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing systems and their associated software and hardware infrastructure. Perform replay, processing, and analysis of real-world vehicle data collected from autonomous driving and ADAS testing, including camera/vision data, LiDAR, millimeter-wave radar, vehicle bus data, and other relevant sensor data. Evaluate the performance and quality of autonomous driving and ADAS algorithms based on real-world recorded data and replay test results. Support issue reproduction, root-cause analysis, and verification of algorithm improvements after software iterations. Operate and maintain data replay workstations, servers, networking equipment, and associated hardware infrastructure to ensure stable and efficient execution of replay and validation tasks. Work closely with algorithm, testing, and overseas R&D teams to analyze issues, drive issue closure, and continuously improve algorithm quality. Prepare test results and analysis reports when required. Support continuous improvement of the data replay toolchain, testing workflows, and automation capabilities to improve the efficiency of data processing and algorithm validation.

Qualifications

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

Technical Skills

Strong knowledge of Ubuntu/Linux, with hands-on experience in software deployment, system operation, and troubleshooting in Linux environments. Proficiency in Python, with practical experience in software development, data processing, or test automation. Knowledge of C/C++ is preferred. Familiarity with autonomous driving and ADAS sensor data, including camera/vision, LiDAR, and millimeter-wave radar, as well as their data structures, formats, and processing pipelines. Familiarity with autonomous driving data collection, data processing, data replay, software development, and algorithm validation workflows. Understanding of Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing methodologies and system architectures. Familiarity with the operation and maintenance of servers, workstations, networking equipment, and related hardware systems. Strong troubleshooting, system debugging, and problem-solving skills.

Experience

At least 2 years of professional experience in autonomous driving, ADAS, data platforms, testing and validation, or a related field. Hands-on experience in at least one complete autonomous driving/ADAS data replay, algorithm validation, or related testing project, covering activities such as environment setup, test execution, issue analysis, and validation closure. Experience with large-scale autonomous driving data processing, SIL/HIL testing, algorithm regression testing, or real-world issue reproduction is preferred.

Other Requirements

Good English communication skills and the ability to work effectively with engineering teams in China and other overseas locations. Strong teamwork, ownership, and ability to independently troubleshoot and resolve technical issues. This is a mandatory work-from-office role based in Pune. Candidates must be willing to work onsite.