Internship - AI Engineer

Kandou Ai; Deutschland; Vor Ort; EUR 12.000 - 20.000; Teilzeit

Benefits dieser Stelle

Compensation available

Hands-on research lab

Shadowing professionals

Startup environment

Access to advanced process nodes

Zusammenfassung

Kandou is seeking an AI Engineering Intern in Germany for up to six months. You will work in our applied AI engineering team to build AI tools that assist hardware design across Analog, Digital, and Verification groups.

The role blends AI with semiconductor engineering, focusing on state-of-the-art AI techniques, tool-calling, and robust software development. You will gain hands-on experience in an industrial research setting within a startup-like environment.

Qualifikationen

• Strong background in AI and LLM.
• Proficiency in software programming and delivering high quality code using AI coding agents.
• Experience with LLM systems including tool-calling, agents, skills, structured output generation, and MCP.
• Strong communication and presentation skills.
• Ability to research independently.
• Problem solving skills.

Aufgaben

• Architect & build agentic systems that enforce design rules and best practices.
• Partner across engineering teams to identify bottlenecks and integrate feedback.
• Integrate AI tools into engineering pipelines and environments.
• Design evaluation pipelines and iterate based on results.
• Deliver modular, well-tested, and maintainable code.

Kenntnisse

AI & LLM

Software programming

LLM tool-calling

Communication

Independent research

Problem solving

Ausbildung

MSc in AI/CS/EE

Tools

LLM toolkits

Jobbeschreibung

Kandou is redefining AI infrastructure through innovative interconnect technologies that significantly reduce power consumption while maintaining high bandwidth and ultra-low latency. Our mission is to make AI systems more scalable, efficient, and accessible.

Today we have one internship position available for max 6 months, in our applied AI engineering Team, for MSc students in the following area :

About the role:

Kandou pushes the boundaries of state-of-the-art semiconductor and electronic design, an arena where off-the-shelf AI tools often fall short. As an AI Engineering Intern, you'll join our AI team to build custom, cutting-edge AI tools that transform how our engineers work. You will operate at the intersection of AI and hardware, developing high-impact solutions for our Analog, Digital, and Verification design teams. The goal of this internship is to bridge state-of-the-art AI techniques with complex semiconductor engineering workflows. You will design, evaluate, and deploy domain-specific AI tools that automate, accelerate and innovate in design iterations across Kandou's Analog, Digital, and Verification teams.

Responsibilities:

• Architect & build agentic systems: Go beyond basic multi-agent setups to design robust, reliable agentic workflows that extract knowledge, execute complex reasoning, and generate design artifacts. Ensure these systems strictly enforce Kandou's design rules and best practices synthesized from past engineering projects and historical codebases.
• Partner across engineering teams: Work closely with engineers to identify engineering bottlenecks, gather their feedback, and integrate into their workflows.
• Integrate into engineering pipelines: Seamlessly embed agentic tools directly into engineers' environments.
• Evaluate & iterate: Design evaluation pipelines and refine systems based on the evaluations and developer feedback.
• Deliver high-quality code: deliver modular, well-tested, and maintainable software

Qualifications:

• Strong background in AI and LLM
• Proficiency in software programming, and delivering high quality code using AI coding agents
• Experience with LLM systems including tool-calling, agents, skills, structured output generation, and MCP
• Strong communication and presentation skills
• Ability to research independently
• Problem solving skills
• Basic understanding of semiconductor/electronic design concepts or hardware description languages is a strong plus, but not strictly required

Benefits:

• Gain hands-on experience in an industrial research lab,
• Shadowing knowledgeable professionals,
• Opportunity to see the inner workings of a startup,
• Compensation available.
• Access to very advanced process nodes