Automotive AI Inference Engineer — Edge ML for MCUs

Imagimob

Stockholms kommun

Hybrid

SEK 700,000 - 950,000

Full time

5 days ago
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Benefits offered by this job

Competitive salary
Wellness allowance
Online courses
Hybrid work model

Job summary

Imagimob seeks a Software Engineer for Automotive AI Inference to develop and optimize software for Infineon Automotive microcontrollers, enabling efficient ML inference on edge devices. You will work at the intersection of ML, embedded software, compilers, and automotive systems to deploy production-ready AI on automotive MCUs.

You will collaborate with MCU architects, automotive application teams, and strategic customers to ensure high-performance, reliable, and safe AI deployment across

Qualifications

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Embedded Systems, Computer Engineering, Software Engineering or a related technical field

Responsibilities

  • 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.

Job description

Imagimob seeks a Software Engineer for Automotive AI Inference to develop and optimize software for Infineon Automotive microcontrollers, enabling efficient ML inference on edge devices. You will work at the intersection of ML, embedded software, compilers, and automotive systems to deploy production-ready AI on automotive MCUs.

You will collaborate with MCU architects, automotive application teams, and strategic customers to ensure high-performance, reliable, and safe AI deployment across

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