Software Architect

ID
2026-3579
Position Type
Full time

Lattice Overview

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.

Responsibilities & Skills

We are looking for a visionary Software Architect who uses GenAI technologies to optimize different aspects of Software Development.

Key Responsibilities

  • Define and evolve software architecture for complex, scalable systems.
  • Integrate generative AI tools into daily workflows and architectural design processes.
  • Collaborate with cross-functional teams to align architecture with product and business goals.
  • Mentor engineering teams and promote best practices in software development.

Required Qualifications

  • Hands-on experience using generative AI tools for productivity and architectural design.
  • Extensive experience in software architecture for large-scale systems.
  • Expert-level proficiency in C++, including modern standards and best practices.
  • Strong understanding of full-stack development, including front-end, back-end, and integration layers.
  • Solid knowledge of the software development lifecycle, from requirements to deployment and maintenance.

Preferred Qualifications

  • Experience with FPGA tools, EDA software, or embedded systems.
  • Advanced degree (MS/PhD) in Computer Science, Electrical Engineering, or related field.

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