Methodology Engineer (Silicon)
Overview:
In this role you will fortify MatX's engineering workflow by building automation that enforces design and verification rules. You'll connect cross-functional procedures across RTL, verification, and physical design to reduce manual process while improving signoff confidence. You will turn CI and regression results into dashboards, and ensure evidence trails are current across teams and tools. This position offers impact in shaping how AI hardware is developed and validated at scale, with a strong emphasis on practical, measurable improvements. Compensation / Benefits4 weeks PTO12 company holidaysremote work optionscompany-subsidized health planslife insurance and disability coverage 401K with company contributions
Responsibilities:
- Design-quality and verification tooling: create and maintain linters, static checks, and schema-driven records that enforce engineering rules on every change
- Signoff evidence and reporting: convert CI/regression/verification outputs into dashboards and reports showing block readiness for signoff
- Exceptions and waivers: build tooling to manage exceptions to checks with ownership, justification, and cross-team visibility
- Shared verification infrastructure: develop libraries and flows used by RTL, verification, and physical design teams
- Standards for AI-written work: apply review and evidence rules to AI-produced work and align with AI tooling checks
- Continuous improvement: analyze escaped bugs and false alarms, measure process costs, and refine checks to reduce steps
Key requirements:
- Strong software engineering background
- Production Python and at least one second language (e.g., Rust)
- Experience building tools relied upon by other engineers
- Experience with CI/build systems (GitHub Actions, Bazel)
- Chip development exposure (tapeout involvement, design/DV/CAD/methodology)
- Good judgment in applying processes vs. over-constraint
- Clear writing and ability to explain rules concisely
- Voice of pragmatism in balancing enforcement with efficiency
- Occasional travel readiness
- Python production development
- Rust (or similar language)
- GitHub Actions or equivalent CI