Principal System Applications Engineer

As a Principal System Applications Engineer in our IoT Solutions team, you will lead the design and delivery of system-level projects that showcase how Infineon silicon and software can enable differentiated features in Edge Artificial Intelligence (AI) and Internet of Things(IoT) applications.

Your Role

Key responsibilities in your new role

As a Principal System Applications Engineer in our IoT Solutions team, you will lead the design and delivery of system-level projects that showcase how Infineon silicon and software can enable differentiated features in Edge Artificial Intelligence (AI) and Internet of Things(IoT) applications. Projects can include proof-of-concept demonstrations, reference designs, and application specific evaluation /development platforms. You will be part of Infineon’s Consumer, Computing, & Communication (C3) Segment, focused on Edge AI and IoT applications. If you enjoy creating creative system-level embedded solutions to solve real-world problems focused on Edge AI & IoT applications, then apply now!

• Key Responsibilities in your new role:
  • Translate marketing requirements into technical requirements and specifications
  • Create hardware and software architectures for system projects
  • Define technical architecture strategy and direction for IoT system projects, serving as the team's technical authority
  • Mentor and guide junior and senior engineers through technical reviews and design feedback
  • Work with project managers to develop engineering project plans
  • Collaborate with cross-functional team members to create system-level solutions that can include Edge AI, wireless connectivity, human machine interfaces (HMI), motor control, and sensor fusion
  • Publish software via GitHub and create technical documentation
  • Support go-to-market activities for solutions including conducting technical training, attending trade shows to demo solutions, and supporting lead customers.

Your Profile

Qualifications and skills to help you succeed

• A Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or Electronics and Communication Engineering (required);advanced degree preferred.

• 10+ years' experience with embedded systems, IoT, and Edge AI

• Experience with C, C++.

• Experience with real-time operating systems (RTOS) such as Free RTOSor Zephyr.

• Experience with Embedded software or microcontroller platforms such as Infineon, XMC, PSoC, OPTIGA, Arduino, STM32, iMX RT or Raspberry Pi.

• Experience with hardware design and debug skills including PCB schematic review, oscilloscope, logic analyzer, and hands-on board bring-up.

• Experience with Python scripting and data analysis, TensorFlow or PyTorch frameworks.

• Experience with model optimization or quantization for embedded AI (TinyML, Tensorflow Lite, etc.)

• Experience with Wi-Fi, Bluetooth, and modern IoT protocols (Matter, BLE Mesh, Thread) including experience with cloud platforms such as AWS, Azure IoT Hub, or Google Cloud IoT.

• Experience with embedded security fundamentals including secure boot, TLS/DTLS, and familiarity with Infineon OPTIGA Trust security solutions.

• Strong communication skills.

• Collaborates effectively across different functional groups.

• Preferred Qualifications:

  • Experience defining or contributing to technical product roadmaps in collaboration with product marketing
  • Experience with Infineon Modus Toolbox SDK and AIROC Wi-Fi/Bluetooth portfolio
  • Publications, patents, or conference presentations in the embedded AI or IoT domain.

Contact:

umeshdatta.bamrule@infineon.com

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