Staff DevOps Engineer
Arm · On-site · Full-time · Austin, Texas, United States
Posted (3d ago)
- Employer posted
- First seen here
- Repost check
- Same job ID since we first saw it on Oct 20, 2026. If Arm reposts it, we keep the original posting date.
- Level
- Staff+
- Work setup
- On-site
- Tech mentioned
- Python, Ruby, Linux
- Arm hiring
- 63 roles posted in the last 30 days
Job description
About Arm Arm is the industry's leading supplier of microprocessor technology, offering the widest range of microprocessor cores to address the performance, power, and cost requirements for almost all application markets. With a vibrant ecosystem of over a thousand partners and more than 150 billion processors shipped, our technology is at the heart of a computing and connectivity revolution that continues to transform the way people live and businesses operate. The CPU DevOps team is part of Arm’s worldwide CPU development group. This diverse, engineering-focused team defines, designs, and builds Arm microprocessor IP. Job Description We are looking for an experienced DevOps Engineer to help develop, operate, and evolve the engineering infrastructure used to design and verify Arm’s high-performance CPUs. This is a hands-on engineering role at the intersection of software engineering, hardware verification, and high-performance computing (HPC) . You will work closely with CPU design and verification engineers to improve the infrastructure, tools, and workflows that enable large-scale hardware development. Responsibilities You will contribute to the development and operation of infrastructure supporting CPU design and verification, including: Design, develop, and test - Applying sound software engineering practices, including code review, automated testing, documentation, version control, and maintainable software architecture Software used to automate CPU development and verification workflows through direct interactions with CPU design and verification engineers Tools and automation for submitting, managing, monitoring, and analyzing distributed compute workloads Observability of engineering infrastructure through metrics, logging, dashboards, alerting, and automated diagnostics Improve CI and regression infrastructure used by hardware design and verification teams Integrations between source control, CI systems, verification tools, workload schedulers, and engineering services Debug, investigate, and diagnose Identify bottlenecks and opportunities to improve compute utilization, verification throughput, and turnaround time Solve complex problems that cross boundaries between software, hardware verification tools, operating systems, compute infrastructure, and storage Supporting large-scale verification workloads running across HPC compute farms Contribute to technical direction and engineering improvements within the wider CPU development environment. Required Skills and Qualifications You will need: Robust software engineering background Record of delivering production quality software or engineering infrastructure Strong understanding of software engineering principles: API design, testing, debugging, source control, code review, and maintainability High-performance or large-scale compute environments Management and monitoring of distributed workloads Diagnosis of system and application issues using logs, metrics, profiling, tracing, or other observability techniques Hardware design and verification flows Understanding of concepts such as simulation, regression testing, test execution, results consolidation, and failure analysis Expertise in at least one of these languages: Python, Ruby. Shell scripting experience is strongly preferred. Experience with Linux systems Solid understanding of CI/CD or other automated build, test, and regression systems Proven track record of strong problem solving skills across multiple components within a complex engineering environment Strong communication and collaboration skills to bridge diverse development communities: software engineers, hardware designers, verification engineers, infrastructure teams Preferred Qualifications Experience in one or more of the following areas would be advantageous: CPU, SoC, ASIC, or other semiconductor design and verification environments Knowledge of SystemVerilog Hardware simulation, emulation, formal verification, regression management tools Analysis
Arm job ID: 2026-19689
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