C

Cohu

Designs and sells semiconductor test equipment

AI Principal Software Engineer - AI Engineering, AI Group

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeUnited StatesIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science or equivalent; Electrical Engineering or physics is acceptable with a strong software track record.
  • At least 5 years of relevant experience; prior technical-lead or architect experience is preferred.
  • Senior-level ability to independently design, build, and ship production software.
  • Use AI coding agents such as Claude Code, Cursor, Codex, Antigravity, or similar by default; assess their capabilities, use them effectively, and decide what the team standardizes.
  • Demonstrated senior-level ability to drive cross-team technical decisions to closure and gain buy-in without formal authority.
  • In-depth experience architecting distributed systems in Kubernetes and cloud environments, including production ownership.
  • Frontend and user-interface skills sufficient to ship a real agent-facing application.
  • Experience with LLM and agent tooling, including agent frameworks, MCP or equivalent tool-integration patterns, and RAG components, preferred.
  • Knowledge of C++ and Python and prior production experience in either language is a plus.
  • Hands-on experience selecting, installing, and optimizing GPU/server hardware and inference stacks such as vLLM and TensorRT-LLM; air-gapped or on-premises environments are ideal.
  • Semiconductor industry familiarity, particularly in the test/ATE domain.
  • Strong individual and small-team leadership skills in prioritizing and shipping.
  • Excellent written and verbal communication.
  • Comfort presenting technical direction to cross-functional and leadership stakeholders.

Responsibilities

  • Personally design, build, and ship agent tooling, retrieval-augmented generation (RAG) systems, or infrastructure work alongside directing others; remain a working engineer rather than serving only in an architecture or coaching function.
  • Set technical direction for software integration, cloud infrastructure, and on-premises hardware selection and deployment for air-gapped large language model inference, including server/GPU selection, inference software stack, and model evaluation methodology.
  • Architect and drive team-wide adoption of reusable patterns for custom AI agent development, including workflows, tool integration, and hardware integration; RAG/retrieval architecture; and custom user interfaces built on these patterns.
  • Own Kubernetes-based infrastructure, including capacity planning, resource budgeting, scaling, namespace and cluster lifecycle, and production incident response.
  • Provide guidance, coaching, and day-to-day prioritization for the team; participate in architectural planning and represent the team's long-term viewpoint.
  • Serve as the technical escalation point for architecture decisions that cross team or service boundaries.
  • Stay current with the model-serving and inference-hardware landscape.
  • Potentially act as AI Engineering lead.

Desired Qualifications

  • Prior technical-lead or architect experience.
  • Experience with RAG components.
  • C++ and Python knowledge and prior production experience in either language.
  • Hands-on GPU/server hardware and inference-stack experience in air-gapped or on-premises environments.
  • Semiconductor industry familiarity, particularly in the test/ATE domain.

About the Company

Cohu

Designs and sells semiconductor test equipment

Cohu provides test and inspection equipment for semiconductors, including test/inspection handlers, MEMS test modules, test contactors, thermal sub-systems, and automated test equipment. These capital systems are designed, manufactured, and sold to test wafers, dies, and modules, with ongoing service and support contracts creating recurring revenue. What sets Cohu apart is its integrated portfolio that covers multiple test needs plus a global support footprint, enabling customers to test across automotive, consumer, industrial, and medical electronics. The company aims to help customers reliably test and validate semiconductor devices to ensure product quality and production yield.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Poway, CA
Founded
1945

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