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Lead - MBD Validation (EV Controls)

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Onsite

Lead - MBD Validation (EV Controls)

Euler Motors

Lead - MBD Validation (EV Controls)

Skills

PythonMATLABGitLabJenkinsCybersecurityCompliance

1 month ago

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Important information


Contract type:

Permanent

Location:

Delhi, India

Work mode:

Onsite

Published on:

26 September 2026

What they need


Role: Lead - MBD Validation (EV Controls)

Location: Mohan Estate, Delhi

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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