3 days ago
Base Salary
$162k - $219k/yr
Responsibilities
- Develop AI/ML solutions for ASIC test and engineering 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 generative AI, LLMs, agentic AI, deep learning, and time-series analysis.
- Analyze engineering data and build data pipelines, dashboards, tests, validation frameworks, and CI/CD workflows.
- Prototype solutions, measure results against baselines, and productionize successful solutions.
- Follow Git and Gerrit development practices, including code reviews, patch-set management, rebasing, conflict resolution, and change submission.
- Collaborate with software, IT, Product and Test Engineering, silicon validation, quality, reliability, supply chain, and manufacturing operations teams.
- Establish success criteria, communicate results and limitations, and promote scalable, secure, reliable, tested, documented, explainable, and reusable solutions.
Requirements
- Bachelor's or master's degree in Computer Science with a Data Science, AI, or ML specialization, or in Computer Engineering.
- Less than 5 years of industry experience is preferred, with strong new-college graduates also encouraged to apply.
- 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 foundations 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.
- Preferred qualifications include ASIC development, semiconductor test, silicon validation, Product and Test Engineering, manufacturing, DFT, scan, ATPG, MBIST, ATE, silicon bring-up, yield analysis, failure analysis, quality, reliability, HDL, EDA tools, ASIC implementation flows, MLOps, SQL, Jenkins, containers, Splunk, LSF, cloud, or on-premises platforms.
- Additional preferred experience includes agentic AI, RAG, graph neural networks, reinforcement learning, computer vision, LangGraph, LangChain, AutoGen, CrewAI, or MCP.
Benefits
- Salary range is $161,500-$218,500 per year, with total reward details shared during recruitment.
- Hybrid working patterns are determined by the team, with role-specific details provided during application.
- No relocation package is available.
- Arm provides recruitment adjustments and accommodations upon request.
About Arm
Arm’s foundational technology is defining the future of computing. A future built by the greatest technology ecosystem in the world. A future built on Arm. Arm is everywhere technology matters. Technology matters everywhere. Together, we’ll power every technology revolution moving forward, including cloud computing, automotive and autonomous systems, IoT, the metaverse, and beyond. Changing the world. Again. On Arm.