ADAS Embedded Test Engineer – ECU & Validation

Luxoft; México; On-site; MXN 350,000 - 550,000; Full time

Benefits offered by this job

Join a highly competent and motivated

Job summary

Luxoft is seeking an experienced software test engineer for an ADAS project at an International OEM. You will join an international team, perform ECU bench and smoke testing, and document results while collaborating with SW development and integration groups.

This role places you at customer facilities, with opportunities for personal growth, cross‑functional learning, and career advancement within a challenging automotive testing environment focusing on Vision, Localization, and ADAS algorithms.

Qualifications

• Engineering Degree in Mechatronics, Electronics Computer science, or similar.

Responsibilities

• Perform ECU bench and smoke testing for the software releases
• Document the test results and software issues that came along.
• Analyze, document, and debug test failures
• Test and validate control systems for ADAS / laser scanner / LIDAR applications
• Update test cases according to the change request.
• Review test reports, analyze test results, provide technical judgment, and update the Test documentation.
• Coordinate with project management, SW development, and integration teams

Skills

Embedded systems testing

Automotive ECU testing

CAN/CAN FD

CAPL scripting

SW testing

Problem solving

Team collaboration

Agile methodologies

ASPICE

Diagnostics tools

Education

Engineering Degree in Mechatronics/Electronics/Computer science

Tools

Vector CANoe

CANape

CANalyzer

Diagnostics Engineer Tool

Linux

Shell

Job description

Luxoft is seeking an experienced software test engineer for an ADAS project at an International OEM. You will join an international team, perform ECU bench and smoke testing, and document results while collaborating with SW development and integration groups.

This role places you at customer facilities, with opportunities for personal growth, cross‑functional learning, and career advancement within a challenging automotive testing environment focusing on Vision, Localization, and ADAS algorithms.