ADAS simulation tooling engineer

embIND Embitel Technologies (India) Private Limited; India; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

embIND Embitel Technologies (India) Private Limited is seeking an experienced ADAS Simulation Tooling Engineer. The role requires 5–8 years of experience in developing SIL and closed-loop simulations, alongside strong Python programming abilities for automation and data handling.

The ideal candidate will orchestrate sensor-model simulations and execute various regression tests, contributing to ADAS validation processes. Join us to make an impact in the automotive technology space.

Qualifications

• 5–8 years of experience in ADAS simulation.
• Strong experience in Python programming for automation.
• Hands-on experience with Linux and debugging.

Responsibilities

• Configure and run SIL and closed-loop simulations.
• Develop Python tools for automation and data analysis.
• Execute regression and scenario-based tests.

Skills

Python programming

ADAS Software-in-the-Loop simulation

Closed-loop simulation

Linux environment setup

Debugging skills

Education

BE/BTech/MTech

Job description

Job Title

ADAS Simulation Tooling Engineer

Experience

5–8 Years

Education

BE/BTech/MTech

Employment Type

Full Time

Role Summary

ADAS Simulation Tooling Engineer with 6–8 years of experience to develop SIL, closed‑loop simulation, sensor‑model orchestration, and Python‑based automation/visualization for ADAS validation.

Key Responsibilities

• Configure and run SIL, closed‑loop simulation, and re‑simulation workflows.
• Orchestrate sensor‑model simulation, including inputs, outputs, results, and visualization.
• Develop Python tools for automation, log parsing, data analysis, visualization, and integration.
• Execute regression‑/scenario‑based tests and validate results.
• Debug setup, configuration, data, and scenario execution issues.
• Support ROS2 / Autoware bring‑up and recorded‑data re‑simulation.

Key Skills & Requirements

• Strong Python programming for automation, log parsing, data analysis, and toolchain integration.
• Hands‑on experience in re‑simulation workflows, including replaying recorded data, validating outputs, and debugging execution issues.
• Good understanding of ADAS Software‑in‑the‑Loop simulation, Closed‑loop simulation, and scenario‑based testing.
• Experience with sensor‑model simulation orchestration, including configuring sensor simulation workflows, managing inputs/outputs, storing results, and supporting visualization.
• Understanding of closed‑loop ADAS evaluation, where perception, planning, control, vehicle motion, and environment feedback are evaluated together.
• Hands‑on experience with Linux environment setup, dependency installation, workspace configuration, and troubleshooting.
• Basic to intermediate knowledge of ROS2 / Autoware bring‑up, especially planning and control module validation.
• Ability to configure and execute simulation/re‑simulation toolchains or similar pipelines.
• Experience running regression and scenario‑based test cases and validating results manually.
• Good debugging skills for environment issues, configuration problems, input/output mismatches, and scenario execution failures.
• Understanding of CARLA or similar simulators for ADAS simulation use cases.
• Ability to understand and deserialize structured debug logs, including schema/header‑based data formats.