Senior Engineer - AI/ML-Driven ASIC Test and Operations Automation

• 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., At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working

Arm’s 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.

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., * 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.

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 Arm. Salary is only one component of Arm’s offering. The total reward package will be shared with candidates during the recruitment and selection process.

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 Arm products and methodologies.