AM
Model Based Development Engineer- Vehicle Control Software
Accepting applicationsArbor Mobility Private Limited · Bengaluru, Karnataka, India
Full-Time Mid_senior MATLABPythonSOC
Posted
20h ago
Category
Design
Experience
Mid_senior
Country
India
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Model Based Development Engineer- Vehicle Control Software
Bengaluru, Karnataka, India
Work Model
On - Site
Career Level
On-Site
Availability
Immediate
Job ID
260801
Apply Now
About The Role
About the role
We are building a performance electric two-wheeler from the ground up — our own VCU, BMS, and motor controller software. We are looking for a Model-Based Development (MBD) engineer who will own the controls design layer of that stack: turning functional requirements into executable Simulink/Stateflow models, proving them out in MIL, and handing them to the firmware team in a form they can implement and trust. You will be deciding how the control logic and estimation algorithms actually work and defending those decisions in review.
What You'll Do
Translate functional requirements into models.
Take functional requirements for VCU, BMS, and MCU features and build corresponding Simulink / Stateflow / MATLAB models and algorithms— supervisory state machines, mode managers, torque arbitration, thermal derating, charging control, fault handling.
Do the mathematical modelling.
Develop the underlying algorithms and plant models: battery equivalent-circuit models, SOC/SOH estimators, vehicle longitudinal dynamics, motor and drivetrain models, sensor models. Choose and justify the estimator structure, tuning, and numerical behaviour.
Own MIL verification end to end.
Build test harnesses, author test cases traceable to each requirement, run model coverage (statement / decision / MC-DC), close gaps, and produce the verification evidence. Set up regression suites so model changes don't silently break behaviour.
Be the bridge to firmware.
Walk the firmware team through model intent, data types, fixed-point vs floating-point decisions, execution rates, signal ranges, and interface definitions. Review their implementation against the model. Debug together when bench behaviour diverges from simulation.
Enforce modelling discipline.
Apply and maintain modelling guidelines, reusable libraries, data dictionaries, and version control of models.
Close the loop with the vehicle.
Correlate models against bench, dyno, and on-road data. Re-tune, re-validate, and keep the model the source of truth as the vehicle matures.
Support the path to SIL/HIL as our test infrastructure builds out, and contribute to code-generation workflows where we adopt them.
Requirements
B.E./B.Tech/M.Tech in Electrical, Electronics, Mechanical, Instrumentation, Control Systems, or equivalent.
3–5 years of automotive experience in model-based development. EV experience strongly preferred.
Deep hands-on Simulink, Stateflow, and MATLAB. You have personally built and shipped models, not just maintained someone else's.
Strong mathematical foundation — state-space representation, control theory (PI/PID, feedforward, anti-windup, gain scheduling), estimation and filtering, linear algebra, discretisation and numerical stability. You should be able to derive an algorithm on a whiteboard, not just wire up a block diagram.
One of the following is mandatory: Battery estimation algorithms — SOC/SOH estimation using Kalman-family filters (EKF/UKF), coulomb counting with OCV correction, equivalent-circuit or electrochemical models, parameter identification from cell test data, SOP/power-limit estimation; or
FOC motor control — PMSM/BLDC field-oriented control, Clarke/Park transforms, current and speed loop design, field weakening, MTPA, sensorless position estimation or resolver/encoder handling, PWM and inverter modelling.
Requirements-driven mindset. Comfortable working from formal functional requirements and maintaining bidirectional traceability from requirement to model to test.
Clear technical communication. You can explain a filter, a state machine, or a derating curve to a firmware engineer well enough that they can implement it correctly without you in the room.
Good to have
Auto-code generation experience (Embedded Coder, TargetLink) and fixed-point design.
Functional safety exposure — ISO 26262, safety requirements decomposition, ASIL-rated functions, safe-state design.
Python or MATLAB scripting for test automation and data post-processing.
HIL / SIL experience (dSPACE, Speedgoat, Typhoon, PLECS, or custom rigs).
Simulink Test, Simulink Coverage, Simulink Design Verifier, Polyspace.
CAN / CAN-FD, UDS diagnostics, and vehicle network architecture familiarity.
Git-based workflows for models; experience with model merge/diff.
Prior work on two-wheeler EVs, BMS hardware bring-up, or inverter development.
AUTOSAR familiarity.
About The Company
Arbor Mobility is a 2W EV start-up based out of Bengaluru, India. We at Arbor Mobility are developing a performance two-wheeler EV motorcycle. The three Co-Founders have done their Masters in Automotive Engineering from the University of Michigan, Ann Arbor, USA, and have worked for various Automotive companies in India and the USA and are now determined to create something exciting in the EV space. The company was started in November, 2022 and is now rapidly expanding. We, at Arbor Mobility are trying to answer the basic question of how to increase the adoption of EVs in India. EV usage is a paradigm shift in consumer behaviour. It requires us to think how to tackle the issues such as charging, range anxiety & safety for a consumer. We at Arbor Mobility think it is essential to make it easy for the customers to switch to EVs. Hence, we have taken an innovative customer centric approach for our product development. This provides an exciting opportunity for anyone who want to join the efforts to build the future of automotive industry in India & the world.
Apply Now
Show more Show less
Model Based Development Engineer- Vehicle Control Software
Bengaluru, Karnataka, India
Work Model
On - Site
Career Level
On-Site
Availability
Immediate
Job ID
260801
Apply Now
About The Role
About the role
We are building a performance electric two-wheeler from the ground up — our own VCU, BMS, and motor controller software. We are looking for a Model-Based Development (MBD) engineer who will own the controls design layer of that stack: turning functional requirements into executable Simulink/Stateflow models, proving them out in MIL, and handing them to the firmware team in a form they can implement and trust. You will be deciding how the control logic and estimation algorithms actually work and defending those decisions in review.
What You'll Do
Translate functional requirements into models.
Take functional requirements for VCU, BMS, and MCU features and build corresponding Simulink / Stateflow / MATLAB models and algorithms— supervisory state machines, mode managers, torque arbitration, thermal derating, charging control, fault handling.
Do the mathematical modelling.
Develop the underlying algorithms and plant models: battery equivalent-circuit models, SOC/SOH estimators, vehicle longitudinal dynamics, motor and drivetrain models, sensor models. Choose and justify the estimator structure, tuning, and numerical behaviour.
Own MIL verification end to end.
Build test harnesses, author test cases traceable to each requirement, run model coverage (statement / decision / MC-DC), close gaps, and produce the verification evidence. Set up regression suites so model changes don't silently break behaviour.
Be the bridge to firmware.
Walk the firmware team through model intent, data types, fixed-point vs floating-point decisions, execution rates, signal ranges, and interface definitions. Review their implementation against the model. Debug together when bench behaviour diverges from simulation.
Enforce modelling discipline.
Apply and maintain modelling guidelines, reusable libraries, data dictionaries, and version control of models.
Close the loop with the vehicle.
Correlate models against bench, dyno, and on-road data. Re-tune, re-validate, and keep the model the source of truth as the vehicle matures.
Support the path to SIL/HIL as our test infrastructure builds out, and contribute to code-generation workflows where we adopt them.
Requirements
B.E./B.Tech/M.Tech in Electrical, Electronics, Mechanical, Instrumentation, Control Systems, or equivalent.
3–5 years of automotive experience in model-based development. EV experience strongly preferred.
Deep hands-on Simulink, Stateflow, and MATLAB. You have personally built and shipped models, not just maintained someone else's.
Strong mathematical foundation — state-space representation, control theory (PI/PID, feedforward, anti-windup, gain scheduling), estimation and filtering, linear algebra, discretisation and numerical stability. You should be able to derive an algorithm on a whiteboard, not just wire up a block diagram.
One of the following is mandatory: Battery estimation algorithms — SOC/SOH estimation using Kalman-family filters (EKF/UKF), coulomb counting with OCV correction, equivalent-circuit or electrochemical models, parameter identification from cell test data, SOP/power-limit estimation; or
FOC motor control — PMSM/BLDC field-oriented control, Clarke/Park transforms, current and speed loop design, field weakening, MTPA, sensorless position estimation or resolver/encoder handling, PWM and inverter modelling.
Requirements-driven mindset. Comfortable working from formal functional requirements and maintaining bidirectional traceability from requirement to model to test.
Clear technical communication. You can explain a filter, a state machine, or a derating curve to a firmware engineer well enough that they can implement it correctly without you in the room.
Good to have
Auto-code generation experience (Embedded Coder, TargetLink) and fixed-point design.
Functional safety exposure — ISO 26262, safety requirements decomposition, ASIL-rated functions, safe-state design.
Python or MATLAB scripting for test automation and data post-processing.
HIL / SIL experience (dSPACE, Speedgoat, Typhoon, PLECS, or custom rigs).
Simulink Test, Simulink Coverage, Simulink Design Verifier, Polyspace.
CAN / CAN-FD, UDS diagnostics, and vehicle network architecture familiarity.
Git-based workflows for models; experience with model merge/diff.
Prior work on two-wheeler EVs, BMS hardware bring-up, or inverter development.
AUTOSAR familiarity.
About The Company
Arbor Mobility is a 2W EV start-up based out of Bengaluru, India. We at Arbor Mobility are developing a performance two-wheeler EV motorcycle. The three Co-Founders have done their Masters in Automotive Engineering from the University of Michigan, Ann Arbor, USA, and have worked for various Automotive companies in India and the USA and are now determined to create something exciting in the EV space. The company was started in November, 2022 and is now rapidly expanding. We, at Arbor Mobility are trying to answer the basic question of how to increase the adoption of EVs in India. EV usage is a paradigm shift in consumer behaviour. It requires us to think how to tackle the issues such as charging, range anxiety & safety for a consumer. We at Arbor Mobility think it is essential to make it easy for the customers to switch to EVs. Hence, we have taken an innovative customer centric approach for our product development. This provides an exciting opportunity for anyone who want to join the efforts to build the future of automotive industry in India & the world.
Apply Now
Show more Show less