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

Tata Technologies; Bengaluru; Hybrid; INR 1,400,000 - 2,200,000; Full time

Job summary

Tata Technologies is seeking an experienced Validation Engineer – Virtual ECU (vECU) & SIL Validation in Bengaluru. The role focuses on automotive ECU software validation for AUTOSAR-based platforms, virtualized hardware, and cloud-enabled validation environments.

You will validate vECU setups, perform system-level testing, and develop automated tests for CI/CD pipelines. Expect hands-on work with dSPACE VEOS, INCA, CANape, CANoe, ControlDesk, and related tools, plus strong experience in

Qualifications

• 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.
• Experience with dSPACE VEOS, INCA, CANape, CANoe, ControlDesk; JIRA, Git/GitHub; AWS Cloud; Python; CAPL; 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; automated regression testing for vECU releases.

Responsibilities

• Validate Virtual ECU (vECU) environments running on dSPACE VEOS and perform integration tests.
• Conduct system-level validation of AUTOSAR-based ECU software.
• Validate virtualized MCU peripherals, CDDs, register adaptation frameworks, and virtual interrupt handling.
• Support AWS-based virtual ECU deployment validation.
• Validate GTM models including TIM, ATOM, DPLL, ARU, and MCS and engine angle-domain functionalities.
• Verify CAN, UDS, XCP, INCA, and CANape measurements and ECU boot-up activities.
• Develop automated test scripts using Python and integrate validation into CI/CD pipelines.
• Generate validation reports and assist defect resolution with cross-functional teams.

Skills

ECU Software Validation

SIL/MIL/vECU Testing

AUTOSAR Architecture

Embedded Systems Validation

Diagnostics Validation

CAN/UDS/SPI/SENT/LIN

AWS Cloud

Python

CAPL

Education

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

Tools

dSPACE VEOS

INCA

CANape

CANoe

ControlDesk

JIRA

Git/GitHub

AWS Cloud

Python

CAPL

AUTOSAR

XCP

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