Senior Embedded AI Engineer for Automotive Edge AI

NXP

United States

Remote

USD 130,000 - 170,000

Full time

7 days ago
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Job summary

TrustMotion, part of NXP, is seeking a Senior Embedded AI Software Engineer to develop advanced embedded and automotive AI solutions. You will work at the intersection of embedded software and AI, creating software for embedded platforms, bringing AI-powered solutions to hardware, and handling BSP development, system integration, and AI workloads on embedded targets.

The role involves board bring-up, optimization, and working across hardware and software teams to deliver robust embedded systems

Qualifications

  • 4+ years of experience in embedded software development.
  • Experience deploying AI/ML models on embedded hardware.
  • Understanding of SoC and MCU architectures and experience with embedded platforms.
  • Good understanding of operating systems, embedded Linux and low-level software concepts.
  • Familiarity with AI/ML concepts and workloads.
  • Experience with board bring-up and BSP development
  • Strong programming skills.

Responsibilities

  • Develop and maintain embedded software and BSP components
  • Perform board bring-up and integrate software on embedded hardware
  • Deploy, integrate, and run AI models and supporting software on embedded targets
  • Debug and troubleshoot software and system issues on hardware
  • Analyze system behavior and performance and identify potential improvements
  • Take ownership of technical tasks and independently drive them from development through validation

Skills

Embedded software
AI on embedded
Board bring-up
BSP development
C/C++
Embedded Linux
SoC architectures
Linux kernel/driver
Automotive software
Debugging

Education

BSc/MSc in CS or EE

Job description

TrustMotion, part of NXP, is seeking a Senior Embedded AI Software Engineer to develop advanced embedded and automotive AI solutions. You will work at the intersection of embedded software and AI, creating software for embedded platforms, bringing AI-powered solutions to hardware, and handling BSP development, system integration, and AI workloads on embedded targets.

The role involves board bring-up, optimization, and working across hardware and software teams to deliver robust embedded systems

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