Internship - AI Engineer

Kandou AI; Saint-Sulpice; Vor Ort; CHF 17.000 - 28.000; Vollzeit

Benefits dieser Stelle

Hands-on industrial research

Shadowing professionals

Startup environment

Access to advanced process nodes

Zusammenfassung

Kandou AI is seeking an AI Engineering Intern to work in our applied AI engineering team in Vaud, Switzerland. The role focuses on building AI tools for design automation across Analog, Digital, and Verification teams, bridging state-of-the-art AI with hardware workflows.

The internship targets MSc students for up to 6 months, with compensation available and a startup-like environment that values innovation, hands-on experimentation, and impactful, high-quality code.

Qualifikationen

• Strong background in AI and LLM.
• Proficiency in software programming and delivering high-quality code.
• 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 is a plus, not required.

Aufgaben

• Architect & build agentic systems that extract knowledge, execute complex reasoning, and generate design artifacts while enforcing Kandou's design rules.
• Partner across engineering teams to identify bottlenecks and integrate into workflows.
• Integrate agentic tools into engineers' environments.
• Design evaluation pipelines and iterate based on feedback.
• Deliver modular, well-tested, maintainable code.

Kenntnisse

AI & LLM

Software programming

LLM tool-calling

Communication

Independent research

Problem solving

Semiconductor concepts (basic)

Tools

MCP

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-ory 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