Software Engineer, Silicon Design Methodology

We’re looking for a software engineer to help build the design methodology, software abstractions, and infrastructure that enable a small silicon team to develop complex chips rapidly and with high confidence. You will turn evolving architecture and design needs into reusable tools and workflows that improve iteration speed, quality, and then apply those tools to help construct world-class silicon. You’ll work closely across architecture, design, verification, performance modeling, and systems software. This role is well suited for an engineer who enjoys building high quality software and is motivated by the challenge of improving velocity and quality of the silicon development process.

Responsibilities

Develop and scale design methodologies for rapid first-party chip development and apply them to construct complex custom chips; Create abstractions that allow hardware structures, configurations, experiments, and results to be represented consistently across tools; Automate high-value engineering workflows and improve their reproducibility, observability, testability, and ease of use; Partner with architects, RTL designers, verification engineers, compiler engineers, and systems software engineers to gather requirements and then implement solutions; Use methodology and tooling to identify design risks early, accelerate iteration, and improve confidence in performance and implementation tradeoffs; Contribute across multiple aspects of software and hardware development as the first-party silicon program and its development methodology evolve

Requirements

Strong software engineering skills in C++, Python, Rust, or similar systems-oriented languages; Experience building engineering infrastructure, developer tools, simulation frameworks, EDA/CAD tooling, compilers, or verification systems; Understanding of digital design and computer architecture well enough to translate silicon-development needs into useful software abstractions; Experience integrating RTL and IP components into an SoC; Designed APIs, object models, or data models for complex systems and care about extensibility, correctness, and usability; Comfortable automating multi-stage workflows, building regression systems, and improving reproducibility across teams; Ability to reason across architecture, design, verification, performance modeling, and software boundaries; Enjoy partnering closely with domain experts and turning loosely defined engineering needs into durable tools and methodologies; Thrive in rapidly evolving environments and can balance immediate program needs with longer-term platform quality; May need to meet certain legal status requirements under U.S. export control laws and regulations