Job Description :
JOB DESCRIPTION :
Almost 5 years of the automotive experience that covers product development, software requirements, system verification and validation testing
with Hardware in loop systems and validating the algorithms using MIL approach to ensure all the input and outputs are fully tested for ECM platforms prior to test on the actual Machines
With over 2 years of experience in creating plant models, HIL testing and validating using dSPACE.
Over one year of hands on experience working with ECU''s for automotive applications using dSPACE tools
Hands on experience with calibration tools like Control Desk, Automation Desk, MotoTune and familiar with INCA.
Knowledge on CAN J1939 communication protocols, analyzing and diagnosing messages in CANoe/CANalyzer
Developed back propagation algorithm and genetic algorithm in MATLAB to train artificial neural network
Theoretical and conceptual knowledge in Control Theory and understanding Plant dynamics
Familiar with Product development cycle, DVP&R, Agile & Waterfall methodologies
Experience in Matlab, Simulink, Stateflow, dynasty. Familiar with Hardware-in-the-loop(HIL), Model-in-the- loop(MIL) and Software-in-the-loop(SIL) Validation, control desk design and development.
Extensive Programming Knowledge in C, LabVIEW
Proficient in CAN protocol, J1939, and in using engine tools (CANalyzer, CANape, Oscilloscopes) to capture ECU data, flashing the ECU control modules and monitor engine health (diagnostics and events)
Maintained MRETs for HIL (Hardware in loop) testing, documented and constructed electrical harness
Proficient in understanding of issues involved with Communication Protocols and Hardware debugging
Excellent communications skills, program Management, flexibility and positivity in working
Designed, developed custom applications & automation systems. Implemented modifications to existing Lab VIEW applications
PRIMARY SKILLS :
Over one year of hands on experience working with ECU''s for automotive applications using dSPACE tools
Hands on experience with calibration tools like Control Desk, Automation Desk, MotoTune and familiar with INCA.
Knowledge on CAN J1939 communication protocols, analyzing and diagnosing messages in CANoe/CANalyzer
Developed back propagation algorithm and genetic algorithm in MATLAB to train artificial neural network
Theoretical and conceptual knowledge in Control Theory and understanding Plant dynamics
Familiar with Product development cycle, DVP&R, Agile & Waterfall methodologies
Experience in Matlab, Simulink, Stateflow, dynasty. Familiar with Hardware-in-the-loop(HIL), Model-in-the- loop(MIL) and Software-in-the-loop(SIL) Validation, control desk design and development.
Extensive Programming Knowledge in C, LabVIEW
Proficient in CAN protocol, J1939, and in using engine tools (CANalyzer, CANape, Oscilloscopes) to capture ECU data, flashing the ECU control modules and monitor engine health (diagnostics and events)
Maintained MRETs for HIL (Hardware in loop) testing, documented and constructed electrical harness
SPECIFIC INDUSTRY – Automotive
EDUCATION - BACHELORS