Design Infrastructure Engineer (EDA & Test)
About The Position
WaveWorks is seeking a strong software and systems engineer to manage the engineering environment for its silicon team. This role involves overseeing the software, compute, EDA, data, and automation infrastructure that supports chip design, bring-up, characterization, and testing. The objective is to create a reliable, reproducible, and scalable engineering environment, similar to a mature production system, by handling tooling and infrastructure tasks, thereby freeing up IC designers. The engineer will have the authority to direct information and IT infrastructure for a complex, deep-stack technology startup developing a multi-faceted platform. This is not a chip design or corporate IT role, but rather a technical ownership position for the systems enabling analog, digital, and verification designers, and serving as the software generalist for the silicon team. While EDA tools are the primary focus, the scope is intentionally broad.
Requirements
- BS in Electrical Engineering or a closely related field plus 3 or more years of software or systems engineering experience, or an MS plus 1 or more years.
- Strong software engineering skills in Python and at least one other language, with a proven track record of building and maintaining tools relied upon by other engineers.
- Expert proficiency in Git and version-control workflows, including repository administration.
- Deep Linux systems administration experience, covering servers, storage, networking, user and access management, and scripting.
- Proficiency in DevOps practices, including configuration management, reproducible environments, containers, CI, and automation of repetitive tasks.
- Daily, effective use of AI coding agents and assistants in engineering work.
- High autonomy and breadth of capability: ability to take ownership of undefined problems and deliver solutions without close direction.
- Enthusiasm for building and owning critical infrastructure.
Nice To Haves
- Experience administering Synopsys, Cadence, or Siemens EDA tools, including license servers and design-environment setup.
- Familiarity with IC design flows, PDKs, and design data management.
- Experience with lab automation and instrument control for semiconductor bring-up or characterization.
- Experience in data engineering and statistical analysis of large test datasets.
- Experience working with EDA or other technical vendors on support and escalation.
- Firmware or embedded software experience.
- Experience working at a semiconductor or hardware startup.
Responsibilities
- Install, configure, and maintain Synopsys, Cadence, and Siemens EDA tool suites, their license servers, and other EDA tools, ensuring they function reliably together within a unified design environment.
- Own the documentation and knowledge base of the design environment's assembly, ensuring it is not dependent on any single designer.
- Manage vendor relationships by opening and tracking support tickets, reproducing and reporting failures, and driving issues to resolution.
- Manage engineering workstations, compute servers, shared storage, and access control.
- Build reproducible development environments, software deployment, and automation, including CI-style workflows for design and test.
- Develop bench-test automation and instrument-control software for silicon bring-up and characterization.
- Establish and manage the pipeline for test data, including acquisition, experiment metadata, parsing, storage, statistical analysis, plotting, and reporting.
- Create regression and automated test suites, along with tools for comparing results across devices, lots, temperatures, configurations, and silicon revisions.
- Organize design files, test data, generated artifacts, and technical documentation for predictable storage, versioning, searchability, metadata tagging, and accessibility.
- Oversee version control across engineering, including Git for software, scripts, and configuration, and design data management for design libraries and PDKs, establishing team-wide practices for branching, release, and access.
- Structure engineering data to facilitate future analysis and automation.
- Develop internal tools, scripts, data pipelines, hardware-control software, and build tooling required by the silicon team, including ad-hoc software solutions.
- Utilize AI coding agents and modern tools as a standard practice to accelerate internal software development and reduce recurring manual overhead.
Benefits
- Comprehensive benefits package for full-time employees.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
