26 Oct
|
Anonymous
|
Toronto
Job Overview
Join the Chip Methodology & Automation (CMA) team within Arm's Solutions Engineering organization. As a Front End CMA Engineer, you will define, develop, and deploy scalable methodologies, flows, and automation that enable efficient development of Arm-based So Cs. The engineer will operate where front-end chip composition meets software engineering, partnering with groups responsible for developing, verification, implementation, architecture, and product engineering. You will help improve RTL quality, build integration, release readiness, and development efficiency by turning sophisticated build requirements into reusable, production-ready solutions. This role provides an opportunity to influence methodologies used across multiple Arm projects and to improve how increasingly sophisticated So Cs are built, validated, and delivered.
ResponsibilitiesOwn and improve front-end build methodologies and CAD flows from RTL development through implementation handoff.
Develop scalable solutions for RTL quality, verification, build/IP management, and flowBuild production-quality automation and infrastructure that improves engineering efficiency, consistency, and build llaborate with build teams and EDA vendors to identify bottlenecks, resolve complex issues, and lead improvements in methodology.
Evaluate and deploy emerging EDA, automation, and AI technologies with measurable engineering impact.
Provide technical leadership and guide methodology strategy, adoption, and guidelines across teams and projects.
Vital Skills and ExperienceExperience in ASIC/So C build, Front-End CAD, build methodology, EDA automation, or related areas.
Robust understanding of digital build and the RTL-to-implementation lifecycle, including Verilog/System Verilog and front-end design flows.
Hands-on experience with RTL quality and verification methodologies such as Lint, CDC/RDC, low-power, formal/equivalence, and synthesis.
Strong Python proficiency along with knowledge of Tcl, Shell, Linux, source control, and regression/CI infrastructure.
Experience building scalable, production-quality CAD flows and automation used across projects.
AI-first approach, with experience applying AI/LLMs to automation, debug, analysis, and engineering efficiency.
Rapid, iterative approach to development
- prototype, deploy, measure, and improve solutions based on real-world use.
Strong debugging and problem-solving skills across building, methodology, infrastructure, and EDA tools.
Strong collaboration and communication skills, with the ability to drive solutions from requirements through deployment and adoption across teams.
Preferred Skills and BackgroundExperience with industry-standard EDA tools from Synopsys, Cadence, Siemens EDA, or similar vendors.
Familiarity with UPF, SDC, low-power build, and advanced So C integration.
Experience with building/IP qualification, configuration, and release management.
Experience building regression, analytics, or data infrastructure for semiconductor build flows.
Familiarity with advanced-node, hierarchical, or multi-die So C development.
Experience collaborating across global teams and driving methodology adoption across projects.
Education
BS/MS in Electrical Engineering, Computer Engineering, Computer Science,
or a related field, or equivalent proven experience.
Additional Information
Please note that no relocation package is available for this role. Don't miss the chance to be part of a world-class team crafting innovative solutions for ambitious projectsSalary Range
$99,900-$135,100 per yearWe 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.
Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email 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 at Arm
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
📌 Frontend cma (Toronto)
🏢 Anonymous
📍 Toronto