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

Location: Bangalore
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:

Robust 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.

Tools & Technologies:

dSPACE VEOS, INCA, CANape, CANoe, Control Desk, JIRA, Git/Git Hub, AWS Cloud, Python, CAPL (Preferred), AUTOSAR, XCP.

Preferred:

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.

Education:

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

Application Details:

Kindly share your updated resume at: Shital. J [email protected]

Please mention "Validation Engineer – Virtual ECU (vECU) & SIL Validation" in the email subject line.

Mandatory Details to be Shared:

- Total Experience
- Relevant Experience in ECU Validation / SIL / vECU Testing
- Experience in AUTOSAR
- Experience in dSPACE VEOS
- Experience in CAN / UDS Diagnostics
- Current Company
- Current Location
- Preferred Location
- Current CTC
- Expected CTC
- Notice Period (Immediate to 30 Days)

Additional Details:

If serving notice, please mention your Last Working Day (LWD)

If already relieved, mention LWD & reason for leaving

If any career gap, kindly specify the reason

Mention experience on Engine ECU / Powertrain ECU / Hybrid / EV Controller programs if applicable.

📌 Validation Engineer – Virtual ECU (vECU) & SIL Validation – Automotive (Bengaluru)
🏢 Tata Technologies
📍 Bengaluru