Senior AI Engineer (LLM & Edge AI)
About the role
Join TrustMotion part of NXP
TrustMotion part of NXP is looking for a Senior AI Engineer to join our growing team working on next-generation AI solutions for embedded platforms. The role focuses on the development, architecture, fine-tuning, optimization, and deployment of Large Language Models (LLMs) and Vision Language Models (VLMs), with a strong emphasis on bringing AI from concept to execution on hardware platforms.
What You Will Do
- Design, develop, and optimize AI solutions based on LLMs and VLMs
- Independently solve complex AI engineering problems and drive their implementation
- Contribute to the architecture and technical design of AI solutions
- Fine-tune models for specific use cases and domains
- Develop and maintain AI agents using modern agentic frameworks
- Design and develop MCP tools and integrate them into AI agent workflows
- Evaluate model performance, accuracy, latency, and resource utilization
- Deploy and optimize AI models on embedded and edge computing platforms
- Create proof-of-concepts and contribute to product development activities
- Provide technical guidance and support to less experienced team members
- Stay up to date with emerging AI technologies and industry trends
What We Are Looking For
- BSc or MSc in Computer Science, Electrical Engineering, Software Engineering, Artificial Intelligence, or a related field
- 4+ years of relevant professional experience
- Strong programming skills
- Good understanding of machine learning and deep learning fundamentals
- Hands-on experience with LLMs, VLMs, or other Generative AI systems
- Experience with model fine-tuning and evaluation techniques
- Experience using AI frameworks such as PyTorch, TensorFlow, Hugging Face, or similar
- Strong understanding of AI system design and software engineering best practices
- Experience with Agentic AI frameworks
- Experience with MCP tools and AI tool integration
- Understanding of version control systems and collaborative software development practices
Nice to Have
- Knowledge of model optimization and edge AI deployment
- Experience with Linux environments
- Experience working with multimodal AI systems
- Embedded systems experience, particularly in AI model deployment and performance optimization
- Experience mentoring or providing technical guidance to other engineers
Why Join Us
- Work at the intersection of AI and embedded systems
- Develop solutions that run on real-world embedded hardware
- Work on challenging AI problems from architecture and development through deployment
- Continuous exposure to the latest industry trends, technologies, and best practices
- Opportunities to attend technical workshops, conferences, industry events, and go on project-related business travel
📝 Contract Type
📚 Development Opportunities
🚀 Hiring Process
⏭️ What’s next
Not included in the source posting: about the role, qualifications.
Skills
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