Validation Engineer – Virtual ECU (vECU) & SIL Validation – Automotive

Tata Technologies Ltd.; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tata Technologies Ltd. is seeking an experienced Validation Engineer for Virtual ECUs (vECU) and SIL validation in Bengaluru. The role focuses on validating AUTOSAR-based ECU software, virtual environments with dSPACE VEOS, and diagnostics validation across CAN/UDS workflows.

You will develop automated tests in Python, contribute to CI/CD pipelines, and coordinate with GTM and software teams to ensure robust validation coverage for engine, powertrain, and transmission ECUs.

Qualifications

• 5–7 years of experience in automotive ECU software validation.
• Hands-on with dSPACE VEOS, AUTOSAR-based ECU software validation.
• Experience with CAN, UDS, SPI, SENT, and LIN protocols.
• Exposure to Infineon AURIX TC3xx platforms.
• Familiar with AWS-hosted SIL platforms and CI/CD testing.

Responsibilities

• Validate Virtual ECU environments running on dSPACE VEOS; perform integration and system-level testing of AUTOSAR-based ECU software.
• Validate virtualized MCU peripherals, CDDs, register adaptation frameworks and virtual interrupt handling.
• Support AWS-based virtual ECU deployment validation and plant model validation.
• Develop automated test scripts using Python and integrate validation into CI/CD pipelines.
• Generate validation reports and coverage metrics; perform root cause analysis and collaborate with teams.

Skills

ECU Software Validation

SIL/MIL/vECU Testing

Embedded Systems Validation

Diagnostics Validation

CAN & UDS protocols

AUTOSAR Architecture

Education

BE / B.Tech / ME / M.Tech in Automotive / Electronics / Electrical / Embedded Systems / Mechatronics

Tools

dSPACE VEOS

Python

AWS Cloud

CANape

CANoe

INCA

CAPL

Job description

Experience: 5-7 Years

Notice Period: Immediate to 30 Days

Open Positions: 4

We are looking for an experienced Validation Engineer - Virtual ECU (vECU) & SIL Validation with strong expertise in Automotive ECU software validation, AUTOSAR-based platforms, dSPACE VEOS, virtual ECU environments, diagnostics validation, and closed-loop SIL testing.

Key Responsibilities:

Perform validation of Virtual ECU (vECU) environments running on dSPACE VEOS, execute integration and system-level testing of AUTOSAR-based ECU software, validate virtualized MCU peripherals, CDDs, register adaptation frameworks, and virtual interrupt handling mechanisms, support AWS-based virtual ECU deployment validation, validate GTM Functional Models including TIM, ATOM, DPLL, ARU, and MCS, verify engine angle-domain functionalities such as engine speed acquisition, cam/crank processing, ignition and injection trigger generation, validate CAN communication, UDS diagnostics, XCP, INCA, and CANape measurements, support ECU boot-up and communication bring-up activities, perform closed-loop SIL testing using plant models and bus simulations, analyze control-loop behavior, investigate software defects and simulation mismatches, develop automated test scripts using Python, integrate validation activities into CI/CD pipelines, generate validation reports and coverage metrics, perform root cause analysis, and collaborate with integration, GTM, and software teams for defect resolution.

Required Skills:

Strong experience in ECU Software Validation, SIL/MIL/vECU Testing, AUTOSAR Architecture, Embedded Systems Validation, CDD Validation, and Diagnostics Validation. Hands-on experience with CAN, UDS, SPI, SENT, and LIN protocols, exposure to Infineon AURIX TC3xx platforms, GTM peripherals (TIM, ATOM, DPLL, ARU, MCS), cloud-based simulation environments, plant model validation, and automotive virtual validation platforms.

dSPACE VEOS, INCA, CANape, CANoe, ControlDesk, JIRA, Git/GitHub, AWS Cloud, Python, CAPL (Preferred), AUTOSAR, XCP.

Experience in Engine ECU, Powertrain ECU, GPCM, Hybrid or EV Controllers, familiarity with AWS-hosted SIL platforms, exposure to virtualized hardware environments, CI/CD-based testing frameworks, and automated regression testing for vECU releases.

BE / B.Tech / ME / M.Tech – Automotive / Electronics / Electrical / Embedded Systems / Mechatronics Engineering