Help define the future of hardware development! At AllSpice , we’re building the automation engine that powers the next generation of circuit design, enabling breakthroughs in smart vehicles, robotics, rockets, IoT, medical devices , and more. We’re creating the agile development environment for hardware engineers with a Git-friendly translation layer and automated CI/CD framework for native circuit designs. Think GitHub/GitLab + Copilot for electronics. Our mission is to bring the same modern workflows that revolutionized software: version control, automation, and collaboration to the hardware world. Learn more about our journey in TechCrunch and our recent Series A announcement . Just as software teams rely on automated validation, continuous integration, and intelligent output generation, AllSpice GenAI brings these same superpowers to electrical engineering teams. This role is a hands-on leadership position that will evolve as the GenAI team scales. If you’re passionate about building automation systems and want to shape the foundation of modern hardware DevOps, we’d love to meet you! Read more at https://allspice.io What will you do? This is a high-impact role that requires significant autonomy and requires a self-driven, collaborative person. You will be focused on owning major components of our Generative AI pipeline and services. You will: Collaborate with product and engineering teams to design and implement innovative solutions that empower hardware engineers. Build analysis workflows that streamline and optimize circuit design analysis and processes, leveraging AllSpice’s platform and backend systems. Develop integrations with third-party tools, LLMs, and MCPs. Design and implement APIs to power AllSpice’s suite of AI products including DRCY. Leverage modern AI techniques such as RAG, multi-agent evaluation processes, and planning models to deliver solutions. Own and improve the team’s agentic software pipeline, driving continuous improvements in performance, reliability, and developer experience through monitoring and testing of application experience and performance. Maintain and elevate code quality, fostering strong engineering practices through reviews, mentorship, and thoughtful design. Example Projects Work with the team to build a modern AI-driven application that can understand an engineers specific goals and requirements for hardware design. Create a process for parsing and analyzing design files that parallels how an Engineer would conduct a design review. The system will dynamically create goals and planning processes to provide better reviews to our customers and provide actionable suggestions to Engineers. Create RAG-based information repositories to capture component information and domain knowledge in a Context Store that can be accessed by our suite of tools. Create MCPs to provide general domain context as well as customer-specific information to our fleet of LLMs. Design and build feedback processes from domain experts, customers, and LLMs to continue to refine DRCY and add dynamic capabilities. Integrating our systems with the outputs of circuit simulations to improve our LLM function calls. Our stack We primarily build in Python and this team will create LLM orchestration and agent frameworks using tools like Pydantic AI and Langchain Our Hub application is a soft fork of Gitea Go [server-side] Vue/TypeScript Front-end We leverage GitHub actions for CI/CD and to trigger our agents Docker Swarm & Terraform for deployment AWS Postgres DB Expectations Our ideal candidate should have the following:
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees