Principal Software Engineer — AI, Data & MEMS

Menlo Micro is redefining electronic switching with its proprietary Ideal Switch® technology, a new class of switch that overcomes the inherent trade-offs of traditional electromechanical relays (EMRs) and semiconductor switches. Spanning both high-frequency and power applications, the Ideal Switch product portfolio combines ultra-low loss, high linearity, fast switching and compact form factors to enable new levels of performance, density and scalability.

Adopted across some of the world’s most demanding applications, from advanced semiconductor test for memory and high-performance computing (HPC) to AI infrastructure, data centers, aerospace and defense, Menlo Micro helps customers solve critical switching challenges and build smaller, lighter and more efficient systems. The Ideal Switch enables improved signal integrity, reduced size, weight and power consumption (SWaP), and simplified architectures, helping improve system economics, accelerate innovation and bring differentiated products and capabilities to market.

As a Principal Software Engineer - AI, you will shape the architecture and technical direction of Menlo Micro's software, data and AI platforms across the full semiconductor lifecycle: MEMS device design, wafer fabrication, test and qualification, product documentation, and customer-facing engineering tools. You will combine deep software engineering expertise with hands‑on experience in cloud architecture, AI/ML, multi‑agent systems, computer vision and physics‑informed modeling to turn complex device, process and manufacturing challenges into reliable, scalable production systems.

This role spans the full development lifecycle, from research and proof of concept through platform development, model deployment, fab and test‑floor integration, and production operations. You will architect the data, modeling and compute foundations that enable smarter device design, higher‑yield manufacturing, faster qualification, and AI‑assisted engineering and customer support.

As a senior individual contributor, you will lead technical initiatives across teams, establish engineering standards, mentor engineers, and partner with Device Design, Process and Fab Engineering, Test & Reliability, Applications Engineering, Operations, IT and business stakeholders to deliver measurable engineering, manufacturing and customer outcomes.

Own architecture and technical direction. Define software and platform architectures across cloud, edge, data and AI systems serving design, fab, test and customer‑facing functions. Guide decisions that balance performance, reliability, security, IP protection, cost and speed of delivery.

Build scalable software and data platforms. Design distributed services, reusable integration frameworks, and batch and streaming pipelines that unify design data, wafer‑level and final test results, fab process data, reliability data, PLM/ERP records and customer telemetry for analytics, model training and real‑time inference.

Lead AI/ML development and deployment. Architect systems supporting model development, training, validation, deployment, monitoring and continuous improvement for yield prediction, defect classification, test optimization and device characterization. Establish reproducible workflows for datasets, experiments, model versions and production releases.

Architect multi‑agent AI platforms. Build platforms where specialized agents collaborate across device design, process engineering, test engineering, applications support and operations. Define orchestration, task delegation, shared context and memory, agent communication, and secure tool integration with engineering and enterprise systems.

Engineer reliable agent execution. Implement durable…