Lead - MBD Validation (EV Controls)

Euler Motors

Delhi

On-site

INR 2,800,000 - 5,200,000

Full time

17 hours ago
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Job summary

Euler Motors seeks an experienced Validation Lead for automotive controllers in Delhi. You will define the V-model validation strategy across MIL, SIL, PIL, HIL and vehicle levels, and own the release sign-off with a formal validation report.

You will build test strategies, automate regression with Python, and mentor a team of 4–6 engineers. Proficiency in MATLAB/Simulink, MISRA C and CAN tools is required.

Qualifications

  • 8–12 years in automotive controls with at least 5 years hands-on in MBD testing and validation.
  • Deep MATLAB/Simulink/Stateflow skills, including Simulink Test and Embedded Coder or TargetLink generated code.
  • Proven MIL and unit testing of production controller models, with coverage and traceability reporting.
  • Hands-on HIL experience on dSPACE, NI or Vector platforms, including fault-injection testing.
  • Working knowledge of at least two EV controllers and CAN interactions.
  • CAN tools fluency: CANoe/CANalyzer, DBC management, log-based debugging.
  • Test scripting in Python for automation and log analysis.
  • Has taken at least one EV controller software release from model to production vehicle.

Responsibilities

  • Define the V-model validation strategy for each controller and exit criteria.
  • Derive test cases from system and software requirements with traceability.
  • Own software release sign-off with validation report.
  • Run unit and integration testing on Simulink/Stateflow models.
  • Run MIL vs SIL/PIL equivalence testing on generated code.
  • Drive static analysis and run-time checks on generated and handwritten C.
  • Build and maintain plant models for testing.
  • Own the HIL benches: architecture, I/O and CAN configuration.
  • Build test automation with Python and CI.
  • Plan vehicle-level validation and close loop via CAN logs.
  • Triage field issues and add regression tests for defects.
  • Lead a team of 4–6 validation engineers.
  • Support ISO 26262 and ISO/SAE 21434 work products and ASPICE audits.

Skills

MATLAB/Simulink/Stateflow
Simulink Test
Python automation
MIL/SIL/PIL/HIL
MISRA C

Education

B.E./B.Tech in Electrical/Electronics/Instrumentation/Mechanical
M.Tech in automotive electronics or controls

Tools

dSPACE SCALEXIO
NI hardware
Vector platforms
CANoe/CANalyzer
Embedded Coder/TargetLink

Job description

Technical Skills Required:
Responsibilities
  • About the role
  • We design our vehicle controllers in-house, so no Tier-1 supplier validates the software for us. That makes validation our own quality gate between a Simulink model and a vehicle in a customer's fleet.
  • You will build and run that gate: the test strategy, the MIL/SIL/PIL/HIL infrastructure, the automation, and the release sign-off. Our vehicles run 150–250 km a day in commercial duty, so a field fault means lost revenue for a fleet operator, not just a warranty claim.
  • Key responsibilities
  • Validation strategy and process
  • Define the V-model validation strategy for each controller: what is proven at MIL, SIL, PIL, HIL and vehicle level, and what exit criteria each stage needs.
  • Derive test cases from system and software requirements, with bidirectional traceability (requirements model test result).
  • Set and enforce model quality gates: MAAB/JMAAB modelling guidelines, Model Advisor checks, and structural coverage targets (decision, condition, MC/DC as needed).
  • Own software release sign-off: no controller build ships to production or fleet without a validation report from your team.
  • Model and code-level testing
  • Run unit and integration testing on Simulink/Stateflow models using Simulink Test, Test Manager and harnesses.
  • Run back-to-back (MIL vs SIL/PIL) equivalence testing on auto-generated Embedded Coder / TargetLink code.
  • Drive static analysis and run-time error checks on generated and handwritten C (Polyspace or equivalent, MISRA C).
  • Build and maintain plant models (motor, inverter, battery, charger, vehicle dynamics) fit for closed-loop testing.
  • HIL and test infrastructure
  • Own the HIL benches (dSPACE SCALEXIO or equivalent): architecture, I/O and CAN configuration, fault-injection, and commissioning of new rigs.
  • Build test automation (Python, AutomationDesk / ECU-TEST or equivalent) with nightly regression runs integrated into CI (Jenkins/GitLab).
  • Cover fault-injection and edge cases the vehicle can't safely reproduce: sensor failures, CAN loss, thermal derating, over/under-voltage, contactor faults.
  • Vehicle and field validation
  • Plan and support vehicle-level validation with the T&V team, using CAN logs (CANoe/CANalyzer) to close the loop between bench and road.
  • Triage field and fleet issues back to root cause in model or code, and add a regression test for every escaped defect.
  • Team and cross-functional leadership
  • Hire, lead and mentor a team of 4–6 validation engineers.
  • Work with controls, embedded, electrical, charging and service teams, plus suppliers for sensors, cells and chargers.
  • Support functional safety (ISO 26262) and cybersecurity (ISO/SAE 21434) work products for validation, and prepare for ASPICE-style process audits.
  • Must-have qualifications
  • B.E./B.Tech in Electrical, Electronics, Instrumentation or Mechanical Engineering; M.Tech in automotive electronics or controls preferred.
  • 8–12 years in automotive controls, with at least 5 years hands‑on in MBD testing and validation.
  • Deep MATLAB/Simulink/Stateflow skills, including Simulink Test and Embedded Coder or TargetLink generated code.
  • Proven MIL and unit testing of production controller models, with coverage and traceability reporting.
  • Hands‑on HIL experience on dSPACE, NI or Vector platforms, including fault‑injection testing.
  • Working knowledge of at least two EV controllers (VCU, MCU, BMS or charger) and how they interact over CAN.
  • CAN tools fluency: CANoe/CANalyzer, DBC management, log‑based debugging.
  • Test scripting in Python for automation and log analysis.
  • Has taken at least one EV controller software release from model to production vehicle.
  • Good‑to‑have qualifications
  • Set up or commissioned an EV controls lab or HIL bench from scratch.
  • ISO 26262 functional safety exposure (ASIL decomposition, safety‑case evidence from testing).
  • ISO/SAE 21434 cybersecurity awareness or certification.
  • ASPICE SWE.4–SWE.6 process experience or audit participation.
  • CI/CD for model‑based workflows (Jenkins, GitLab CI, Simulink Project, Git/SVN).
  • Static analysis with Polyspace and MISRA C compliance.
  • Battery algorithms (SOC/SOH estimation) or DC fast‑charging protocols (Bharat DC‑001, CCS2, GB/T).
  • Commercial 3W or 4W EV background, where duty cycles and fleet uptime drive requirements.
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