Software Engineer for Automotive AI Inference Stack (f/m/div)

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What if your ideas could change the way the world connects, powers up, or thinks?

As a Software Engineer for Automotive AI Inference Stack in our Research & Development team, you'll have the opportunity to merge creativity with your technical expertise by shaping the future of technology, driving groundbreaking projects, and bringing new ideas to life.

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Your role
Key responsibilities in your new role

At Imagimob, part of Infineon Technologies, you will play a key role in bringing Edge AI to next-generation automotive systems. Working across embedded software, AI deployment, and automotive applications, you will develop high-performance inference solutions that enable smarter, safer, and more efficient vehicles.

• Design and implement high-performance inference runtimes for Infineon Automotive microcontrollers and integrate AI inference pipelines into embedded software stacks and real-time operating system environments
• Optimize models and runtime performance for latency, memory usage, power efficiency, and reliability
• Utilize MCU-specific acceleration capabilities and architecture-specific optimizations and implement highly efficient mathematical libraries for embedded inference
• Work closely with cross-functional teams including firmware, hardware, and algorithm engineers to ensure successful system integration
• Support maintainable deployment processes through version control, reproducibility, and traceability
• Evaluate and apply appropriate tools and frameworks for model conversion, quantization, and on-device inference
• Support strategic automotive customers during proof-of-concept and production phases and provide technical guidance on AI deployment best practices

Your profile
Qualifications and skills to help you succeed

You are a self-driven engineer who takes ownership, adapts to evolving priorities, and consistently delivers high-quality results. You combine technical excellence with a collaborative mindset and a commitment to customer success.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Embedded Systems, Computer Engineering, Software Engineering or a related technical field
• Expert-level C/C++ development, with strong debugging and problem-solving skills across software, AI model, and hardware integration layers
• Experience deploying AI/ML models to edge devices using frameworks and toolchains such as TensorFlow Lite Micro, ONNX, ExecuTorch, or similar, including model quantization, memory optimization, and performance tuning on constrained hardware
• Familiarity with sensor and signal processing workflows, including time-series data such as vibration, audio, current, or power signals
• Experience in automotive embedded applications, including exposure to ISO 26262, AUTOSAR, and MCU-based AI acceleration or edge inference platforms would be an advantage
• Knowledge of the AI deployment lifecycle, including model preparation, evaluation and conversion using Python-based ML tools, firmware release processes, and production validation would be an advantage
• Fluency in English

Please send us your CV in English.

#WeAreIn for driving decarbonization and digitalization.
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.
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We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.

Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.

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Learn more about our various contact channels and about Diversity & Inclusion at Infineon.

Luis Oliveira,

https://www.linkedin.com/in/luis-oliveiraa/