Principal Engineer
Infineon Technologies2 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Define architectures for AI agent skills, autonomous agents, MCP servers, and tool integrations on automotive MCU platforms.
- Lead multicore configuration, safety and security peripheral integration, low-level driver development, and AUTOSAR MCAL configuration.
- Govern AI-assisted development processes with end-to-end requirements, implementation, testing, review, traceability, and confidence frameworks.
- Ensure AI-generated software meets MISRA C, static analysis, functional safety, cybersecurity, and project coding requirements.
- Create evaluation frameworks using benchmark workloads, simulation, HIL validation, automated testing, and regression strategies.
- Develop AI automation for motor control, Battery Management Systems, and CAN FD, LIN, and Automotive Ethernet applications.
- Establish quality practices, review engineering solutions, mentor team members, and support talent acquisition and team growth.
- Collaborate with Product Management, Application Engineering, and customers to communicate AI-agent capabilities, limitations, and reliability.
Requirements
- 12–15 years of hands-on embedded software development experience, including at least 8 years in automotive ECU software and 5 or more years in technical leadership or architecture roles.
- Experience delivering ISO 26262-compliant automotive programs at ASIL-B or higher, including safety requirements, safety mechanisms, and safety work products.
- Strong AUTOSAR Classic Platform expertise, especially MCAL and BSW configuration, with experience in ASPICE-assessed processes.
- Deep knowledge of multicore automotive MCU architectures, including Infineon TriCore, Arm Cortex-R, and Power Architecture platforms, lockstep processing, memory protection, and HSMs.
- Hands-on automotive cybersecurity experience aligned with ISO/SAE 21434, including secure boot, secure flashing, and platform security mechanisms.
- Experience with Lauterbach TRACE32, Vector CANoe, TASKING or HighTec compilers, Polyspace, and Helix QAC.
- Strong Python programming skills for engineering automation and workflow optimization.
- At least two demonstrated generative-AI engineering achievements, including at least one workflow or framework successfully led, deployed, and adopted by a broader team.
- Experience with Infineon AURIX TC3x/TC4x or TRAVEO T2G platforms, low-level drivers, and platform-specific software libraries.
- Domain expertise in electric-vehicle motor control systems and Battery Management Systems.
- Hands-on HIL validation experience with dSPACE, Vector VT System, or Typhoon HIL.
- Familiarity with MATLAB/Simulink and Embedded Coder for Model-Based Development.
- Knowledge of UN R155, UN R156, ISO 21448/SOTIF, and related automotive regulations and standards.
- Technical contributions through presentations, publications, conference talks, or open-source projects related to automotive tooling, embedded systems, or AI-assisted development.
Benefits
- The posting describes Infineon’s focus on decarbonization, digitalization, clean mobility, green energy, and inclusive employment practices.
- Infineon states that it provides a workplace based on trust, openness, respect, equal opportunity, and interview accommodations when needed.
Tech Stack
MATLABPython
Categories
About Infineon Technologies
Infineon Technologies designs and manufactures semiconductors for automotive, industrial, and IoT applications, including power devices, microcontrollers, sensors, and security ICs. The Germany-based public company, spun out of Siemens in 1999 and headquartered in Neubiberg near Munich, sells chips and reference solutions to OEMs and device makers worldwide. It trades on the Frankfurt Stock Exchange (ETR: IFX) and expanded its portfolio with the 2020 acquisition of Cypress Semiconductor.