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, ControlDesk, JIRA, Git/GitHub, 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: 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 (Karnataka)
🏢 Tata Technologies
📍 Karnataka