Software Engineer

Role Overview

As a Software Engineer at Arm, you will join the Chip Methodology & Automation (CMA) team in the Solutions Engineering organization. This team creates scalable methodologies, workflows, and automation. These help engineering teams deploy Arm-based SoCs efficiently and consistently. Your role includes developing scalable Linux-based tools and shared infrastructure. You will focus on Python development, reusable automation, tool integration, performance, and reliability to improve engineering workflow efficiency.

Responsibilities

• Develop maintainable Linux tools and command-line applications, preferably using Python.
• Contribute to modular architectures supporting multiple tools, projects, and engineering teams.
• Identify workflow bottlenecks and implement automation that improves execution time, reliability, and efficiency.
• Build reusable infrastructure, APIs, interfaces, and integration patterns for engineering applications.
• Implement process execution, environment management, error handling, logging, and diagnostics.
• Build structured configuration and compatibility contracts using YAML, JSON, or schemas.
• Develop unit, integration, regression, performance, and system tests.
• Profile and optimize CPU, memory, filesystem, network, and batch-processing workloads.
• Support packaging, deployment, versioning, backward compatibility, and release automation.
• Participate in requirements analysis, technical development, code reviews, and validation planning.
• Build user documentation, provide integration mentorship, and develop material for fixing issues.

Requirements

• Software development experience in Python or a comparable language, with a strong preference for Python.
• Good understanding of Linux operating systems, command-line environments, processes, and filesystems.
• Experience crafting modular and reusable software components.
• Experience with Git, automated testing, debugging, and code reviews.
• Familiarity with shell scripting, process automation, YAML, and JSON.
• Understanding of software performance, reliability, error handling, and logging.
• Ability to independently deliver well-defined features with limited supervision.
• Effective communication and collaboration skills.

Nice to Have

• Experience with pytest, Python packaging, or extensible CLI frameworks.
• Familiarity with scalable platform architecture, plugins, APIs, or service-based integrations.
• Experience building secure and auditable execution frameworks.
• Familiarity with distributed computing, job schedulers, containers, or shared Linux environments.
• Experience with CI/CD pipelines and automated release workflows.
• Knowledge of concurrency, caching, profiling, or large-scale filesystem operations.
• Exposure to semiconductor, EDA, or engineering automation workflows.

Skills

• Python
• Linux
• Git
• YAML
• JSON