Principal System Applications Engineer

Infineon Technologies AG; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Infineon Technologies AG is seeking a Principal System Applications Engineer to join our IoT Solutions team. The role involves leading system-level projects that showcase how our silicon and software enable differentiated features in Edge AI and IoT applications.

You will be responsible for translating marketing requirements into technical specifications, mentoring engineers, and collaborating with cross-functional teams. A Bachelor's or Master's degree in relevant engineering fields and 10+ years of experience are required.

Qualifications

• 10+ years' experience with embedded systems, IoT, and Edge AI.
• Experience with hardware design and debug skills including PCB schematic review.
• Experience with model optimization or quantization for embedded AI (TinyML, TensorFlow Lite, etc.)

Responsibilities

• Translate marketing requirements into technical requirements and specifications.
• Lead hardware and software architectures for system projects.
• Mentor juniors and seniors through technical reviews and design feedback.

Skills

Embedded systems

IoT

Edge AI

C and C++

Real-time operating systems (RTOS)

Python scripting

Communication skills

Education

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or Electronics and Communication Engineering

Tools

FreeRTOS

Zephyr

TensorFlow

PyTorch

AWS

Azure IoT Hub

Google Cloud IoT

Job description

Job Overview

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.

Key Responsibilities

• 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.

Qualifications

• 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 and C++.
• Experience with real‑time operating systems (RTOS) such as FreeRTOS or 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.