UBaHdD AjtpmVen – AI/ML-Driven ASIC Test and Operations Automation — Austin, TX

Job ID 2026-17845 Date posted 09/11/2026 Location Austin, Texas Category Engineering Operations

Job Overview

At a5q, we are transforming how semiconductor products are designed, verified, tested, qualified, manufactured, and delivered. We are seeking a Senior Engineer – AI/ML-Driven ASIC Test and Operations Automation to develop intelligent software that improves the efficiency, scalability, and quality of ASIC test and engineering operations.

You will apply AI/ML, data science, and modern software-engineering practices to automate complex workflows and turn engineering data into actionable insights. Working across multiple teams, you will develop prototypes, validate them using real-world data, and transition successful solutions into production.

This position requires strong experience developing production-quality automation with Python-based SDKs and proficiency with Git and Gerrit workflows. Semiconductor, ASIC test, Product and Test Engineering, or DFT experience is beneficial but not required.

Responsibilities

• Develop AI/ML solutions for ASIC test and operations automation.

• Build reusable Python SDKs, APIs, libraries, applications, and automation frameworks.

• Integrate solutions with engineering tools, enterprise platforms, and data sources.

• Develop models for anomaly detection, classification, prediction, optimization, and root-cause analysis.

• Apply technologies such as generative AI, LLMs, agentic AI, deep learning, and time-series analysis.

• Analyze engineering data to identify trends, anomalies, and improvement opportunities.

• Develop prototypes, measure results against defined baselines, and productionize successful solutions.

• Build data pipelines, dashboards, tests, validation frameworks, and CI/CD workflows.

• Follow Gerrit development practices, including code reviews, patch-set management, rebasing, and change submission.

• Ensure solutions are scalable, secure, reliable, tested, and documented.

Cross-Functional Responsibilities

• Collaborate with software, IT, Product and Test Engineering, silicon validation, quality, reliability, supply chain, and manufacturing operations teams.

• Translate engineering and business challenges into well-defined automation and AI/ML problems.

• Establish measurable success criteria with technical stakeholders.

• Communicate results, limitations, risks, and recommendations to engineers and leadership.

• Promote reusable architectures and responsible, secure, and explainable AI practices.

Required Skills And Experience

• B.S. or M.S. in Computer Science with a Data Science, AI, or ML specialization, or in Computer Engineering.

• Less than 5 years of industry experience will be preferred. New college graduates with very strong AI/ML software automation background will get preference.

• Strong Python programming skills and experience developing production-quality SDKs.

• Experience designing, testing, documenting, and maintaining reusable APIs, libraries, and automation frameworks.

• Strong proficiency with Git and Gerrit, including code reviews, patch sets, rebasing, conflict resolution, and collaborative change management.

• Experience with machine learning, anomaly detection, time-series analysis, deep learning, or optimization.

• Understanding of generative AI and LLM applications.

• Strong foundation in data structures, algorithms, statistics, object-oriented design, and software engineering.

• Experience analyzing large datasets and working in Linux or Unix environments.

• Experience with testing, debugging, CI/CD, and technical documentation.

• Strong problem-solving, communication, and cross-functional collaboration skills.

Preferred Qualifications

The following are beneficial but not required:

• Knowledge of ASIC development, semiconductor test, silicon validation, Product and Test Engineering, or manufacturing.

• Familiarity with DFT, scan, ATPG, MBIST, ATE, silicon bring-up, yield analysis, failure analysis, quality, or reliability.

• Familiarity with HDL, EDA tools, or ASIC implementation flows.

• Experience applying AI/ML to semiconductor or engineering data.

• Experience with agentic AI, RAG, graph neural networks, reinforcement learning, or computer vision.

• Familiarity with LangGraph, LangChain, AutoGen, CrewAI, MCP, or similar frameworks.

• Experience with MLOps, SQL, Jenkins, containers, Splunk, LSF, cloud, or on-premises platforms.

In Return

You will join one of the world’s leading semiconductor technology companies and help shape AI/ML-driven ASIC test and engineering operations. You will create technologies that improve quality, operational efficiency, and engineering productivity while contributing to the next generation of a5q products and methodologies.

Please note that no relocation package is available for this role.

Salary Range

$161,500-$218,500 per year

We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to a5q. Salary is only one component of suM'9 offering. The total reward package will be shared with candidates during the recruitment and selection process.

Our 10x Mindset

About

At a5q, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at a5q:

Use of AI in Your Application

At a5q, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact

Recruitment Adjustments and Accommodations

At a5q, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email

Hybrid Working

6Z4’P approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities

a5q is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.