Edge AI Field Application Engineer Intern
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What you'll do
- Develop and debug Edge AI applications and proof-of-concept (POC) projects based on NXP processors, AI accelerators, and related software platforms.
- Investigate emerging AI technologies, including Generative AI, LLMs, AI agents, and related tools, and evaluate their potential use in team workflows. Explore, prototype, and implement AI-based tools and applications to improve productivity and efficiency within the team.
What they're looking for
- Currently pursuing a Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Computer Engineering, Artificial Intelligence, Electrical Engineering, or a related discipline.
- Strong interest in AI technologies, particularly Edge AI. Familiarity with machine learning frameworks, AI models, or AI development tools.
- Programming experience and proficiency in C, C++, and/or Python.
Nice to have
- Familiarity with Linux and embedded SW/HW development is a plus.
- Good problem-solving skills and willingness to explore and learn new technologies is a plus
- Fluent English communication skills in reading, writing, listening, and speaking is a plus
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
The candidate will join NXP’s Field Applications Engineering (FAE) team as an intern, focusing on the exploration and prototyping of AI and Edge AI applications.
The candidate will work closely with FAE engineers to develop proof-of-concept (POC) applications/demos based on NXP’s Edge AI platforms and explore how AI technologies can improve team productivity.
Key responsibilities:
- Develop and debug Edge AI applications and proof-of-concept (POC) projects based on NXP processors, AI accelerators, and related software platforms.
- Investigate emerging AI technologies, including Generative AI, LLMs, AI agents, and related tools, and evaluate their potential use in team workflows. Explore, prototype, and implement AI-based tools and applications to improve productivity and efficiency within the team.
Requirements:
- Currently pursuing a Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Computer Engineering, Artificial Intelligence, Electrical Engineering, or a related discipline.
- Strong interest in AI technologies, particularly Edge AI. Familiarity with machine learning frameworks, AI models, or AI development tools.
- Programming experience and proficiency in C, C++, and/or Python.
- Familiarity with Linux and embedded SW/HW development is a plus.
- Good problem-solving skills and willingness to explore and learn new technologies is a plus
- Fluent English communication skills in reading, writing, listening, and speaking is a plus
Company
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