Senior Staff Application Engineer MCU Compute at Infineon Technologies AG Australia

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

32bit Microcontrollers, Real Time Control Peripherals, AI, Machine Learning, Automotive Cybersecurity, Functional Safety, Embedded MCU Code Development, C Programming, Assembly Language, MCU Peripheral Drivers, MCAL Configuration, Autosar Development, MCU Bootloader Development, MCU Failure Analysis, Machine Learning Software Ecosystem, Hardware Acceleration

Industry

Semiconductor Manufacturing

Description

Be the go-to-person for Infineon's customers and field application engineers about automotive applications using 32bit microcontrollers Own the support for real time control peripherals (e.g. GTM/ADC/DSADC) as well as AI and machine learning topics of our complex microcontroller products Strive to be an expert of 32bit microcontrollers and take the role in MCU training to partners and peer engineers Support and solve the MCU problems from FAE and customers efficiently Work with marketing closely and build up MCU ecosystem by collaborating with 3rd party software and tool partners Collect MCU requirements from local customers and feedback to product line experts in headquarter BS/MS in EE or Computer Science and 10+ years of MCU development/support experience Be familiar with major automotive MCU architecture, like Tricore/ARM Cortex R52/RH850/RISC-V and so on Be familiar with MCU real time control peripherals, like GTM/SARADC/DSADC/other complex timers Be familiar with automotive cybersecurity and functional safety Experience of developing embedded MCU code in C and assembly language required Experience of MCU peripheral drivers or examples development required System development experience of traction inverter/OBC-DCDC/BMS ispreferred Experience of MCAL configuration and Autosar development is preferred Experience of MCU bootloader development is preferred Experience of MCU failure analysis experience is preferred Experience with machine learning software ecosystem as well as hardware acceleration using SIMD or MIMD is a plus We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.

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Responsibilities

Act as the primary contact for customers and field application engineers regarding automotive applications using 32bit microcontrollers. Provide support for real-time control peripherals and AI/machine learning topics while collaborating with marketing and third-party partners.