AI Solutions Staff Engineer

There is energy here…energy you can feel crackling at any of our international locations. It’s an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world-class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality.

Energy feeds on energy. If you flourish in a fast paced, results-oriented environment, if you want to achieve individual success within a “team first” organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you’re looking for.

Key Responsibilities

• AI Agent Development: Build and optimize AI agents using LLMs, MCPs, Skills and RAG to develop tools for FPGA solutions.

• User Interface Creation: Design and implement modern, responsive UIs to visualize FPGA data and provide a seamless interface for interacting with AI-driven tools.

• System Integration: Integrate AI backends with user-facing applications, ensuring high reliability and a fluid user experience for hardware engineering teams.

• Technical Guidance: Provide expertise on the intersection of AI and hardware tooling, setting the standard for software quality and innovation within the team.

Technical Qualifications

• Experience: Hands-on development experience in software and AI engineering, with a focus on building complex tools, platforms, or automation systems. Experience in productizing SW tools.

• AI/ML Expertise: Strong proficiency in the LLM application stack, including prompt engineering, vector databases, and agentic frameworks (e.g., LangChain).

• Frontend Development: Skills in modern Python/JavaScript frameworks (React, Vue, Next.js, or PyQT framework) and styling libraries.

• Programming Languages: Deep knowledge of Python for backend and AI logic; familiarity with Node.js or similar environments.

• Domain Awareness: An FPGA background is preferable but not a must. You must demonstrate the ability to quickly master complex technical domains. Familiarity with hardware design flows or EDA tools is a significant advantage.