Power Electronics : Software Engineer-1

Power Electronics : Software Engineer-1

Job Details:
• Title: Internship, Internship Period: 12 months (2025-2026)
• Educational Qualifications: Pursuing ME/ MTech in Electronics & Communications/Electrical & Electronics/Embedded Systems/Digital Communication/Power Electronics/Instrumentation/Artificial Intelligence
• Experience: NA
• Location: Bengaluru IPEC India

Job Description Summary During Internship/Key Responsibilities:

-        In this role, SW Intern will be assisting SW Developers/Testers/Leads in designing, developing, testing, verification and documentation of the embedded software in compliance with AUTOSAR architecture, ASPICE, Functional Safety and Cybersecurity for various BorgWarner Electrification Products – Inverters, Converters, Controllers, Integrated Drive Modules, etc.

-        Working on Automation/Initiatives/POC/Advanced project on efficiency/quality improvement or capability enhancement as per automotive industry standard to meet the business need.

Required Skills:

 

–       Strong knowledge and experience in programming skills using C and Python/Any other scripting language  

–       Good knowledge on SW architecture preferably AUTOSAR

–       Good knowledge on multicore microcontrollers and Application Specific Integrated Circuits (ASIC)

–       Good knowledge of Automotive communication protocols like CAN FD, LIN, Flexray, Ethernet etc.

–       Good knowledge in Software Testing, Verification concepts, Tools used and set-up

–       Preferably candidates interested in pursuing project/s based on Microcontrollers or AI/ML on Electronics/Software processes or AUTOSAR SW architecture or Testing

–       Self-motivated with a strong and flexible attitude towards learning and achieve project commitments

–       Excellent verbal and written communication skills and ability to document work

–       Solution-oriented mindset and high appetite to learn something new.

–       Proven ability to work well as part of a team and with minimal supervision.

–       Course/knowledge on AI/ML could be an added advantage.

 

 

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Internal Use Only: Salary

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Experience Level

Entry Level