AI - Principal Software Engineer at Cohu

Job description

This is an opportunity for an AI-Engineering Principal Software Engineer, AI Group to get in on the ground floor. Cohu is building the AI engineering platform for semiconductor test from the ground up: cloud and on-prem inference infrastructure, custom agent tooling, and the software integrations that let AI-driven workflows reach application engineers. As both a hands-on engineer and technical leader, this role ships that platform hands-on, sets its technical direction, and leads the small team building it. This position will own technical direction for one of AI-Engineering’s teams: architecture calls, day-to-day prioritization, and the long-term platform viewpoint. You will be defining practice as much as following it, and your team’s goals will shift as the group learns what customers and field engineers actually need. Essential Duties and Responsibilities:  Personally design, build, and ship agent tooling, RAG systems, or infrastructure work alongside directing others.  This role remains a working engineer, not a pure architecture/coaching function.  Set technical direction for software integration, cloud infrastructure, and on-prem hardware selection/deployment for air-gapped LLM inference: server/GPU selection, inference software stack, model evaluation methodology.  Architect and drive team-wide adoption of reusable patterns for custom AI agent development (workflows, tool integration, hardware integration), RAG/retrieval architecture, and custom UIs built on top of them  Responsible for the Kubernetes-based infrastructure, your systems run on: capacity planning, resource budgeting, scaling, namespace/cluster lifecycle, 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 technical escalation point for architecture calls that cross team or service boundaries.  Potential to act as AI Engineering lead.  Stay ahead of the model-serving and inference-hardware landscape. Education and/or Experience:  Bachelors Degree in Computer Science or equivalent; EE/physics acceptable with a strong software track record.  5+ years relevant experience, prior technical-lead or architect experience preferred.  Senior-level ability to design, build, and ship production software independently.  Reach for AI coding agents (Claude Code, Cursor, Codex, Antigravity, or similar) by default, not because a policy directs you to. Focus on what the agents can do, have opinions about using them well, and make the call on 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/cloud environments, including production ownership.  Frontend/UI skills sufficient to ship a real agent-facing application, not just a demo.  Strong individual and small team leadership skills in prioritizing and shipping.  Excellent written and verbal communication.  Comfortable presenting technical direction to cross-functional and leadership stakeholders.  Working fluency with LLM/agent tooling: agent frameworks, MCP or equivalent toolintegration patterns, RAG components preferred.  C++ and Python knowledge and prior production experience in either is a plus.  Hands-on experience selecting, installing, and optimizing GPU/server hardware and inference stacks (e.g., vLLM, TensorRT-LLM), ideally including air-gapped/on-prem environments.  Semiconductor industry familiarity, particularly test/ATE domain. With more than 3000 employees worldwide, we offer challenging and rewarding work experiences, generous employee benefits and a strong company culture. If you are looking for a global publicly traded company that provides you with international experience and a challenging work environment, then Cohu is your choice. Connect with Cohu… Connect with your future… Compensation: The estimated base pay range for this position is $175,000 - $225,000 per year, depending on qualifications, experience, education, and other job-related factors. This range represents Cohu’s good faith estimate of what it reasonably expects to pay for this role upon hire. This role may also be eligible for other compensation programs as determined by company policy. Featured benefits • Medical, dental & vision insurance • 401(k) with company matching contributions • Employee Stock Purchase Plan • Tuition assistance • Disability & life insurance • Profit Sharing Cohu firmly supports the U.S. national and various state and local policies of equal employment opportunity which are designed to provide equality of employment and advancement opportunities to every individual without regard to unlawful considerations of race, color, religion, national origin, citizenship status, ancestry, gender, gender identity or gender expression, age, marital status, sexual orientation, disability, medical conditions, pregnancy, genetic information, military or veteran status or any other legally protected category. In addition, reasonable accommodations are available to qualified disabled individuals, upon request. Globally, Cohu is committed to full compliance with all applicable laws and regulations governing employment, in the U.S. and in all other locations around the world where we have operations.

Requirements

Must-haves

 Personally design, build, and ship agent tooling, RAG systems, or infrastructure work alongside directing others.
 This role remains a working engineer, not a pure architecture/coaching function.
 Architect and drive team-wide adoption of reusable patterns for custom AI agent development (workflows, tool integration, hardware integration), RAG/retrieval architecture, and custom UIs built on top of them
 Responsible for the Kubernetes-based infrastructure, your systems run on: capacity planning, resource budgeting, scaling, namespace/cluster lifecycle, production incident response.
 Potential to act as AI Engineering lead.
 Stay ahead of the model-serving and inference-hardware landscape.
 Bachelors Degree in Computer Science or equivalent; EE/physics acceptable with a strong software track record.
 Senior-level ability to design, build, and ship production software independently.
 Frontend/UI skills sufficient to ship a real agent-facing application, not just a demo.
 Strong individual and small team leadership skills in prioritizing and shipping.
 Excellent written and verbal communication.
 Hands-on experience selecting, installing, and optimizing GPU/server hardware and inference stacks (e.g., vLLM, TensorRT-LLM), ideally including air-gapped/on-prem environments.
 Semiconductor industry familiarity, particularly test/ATE domain.

Nice-to-haves

 5+ years relevant experience, prior technical-lead or architect experience preferred.
 C++ and Python knowledge and prior production experience in either is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmkubernetespython

Platform: oracle-cloud
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)