Mythic is looking for an experienced CAD/EDA engineer to build a truly robust design environment and support multiple disciplines of IC designers. Mythic takes EDA methodology and tooling seriously, and is poised for rapid growth. You will be a critical part of making sure our foundation is strong and capable of enhancing our pace of development.
What you'll do
Support IC design and IT leadership with multiple tool and infrastructure upgrades
Manage several repositories of PDKs, IPs, and multiple tools from multiple vendors
Advise design IT leadership with methodology enhancements and future planning
Keep up with advancements in industry tools that are relevant to our goals
Where necessary or advantageous, develop custom tools/scripts/plug-ins that are easily adopted by users
What you'll bring
Deep understanding of the Cadence tool flow is required
Analog / Mixed-signal design tools (Virtuoso, AMS, Spectre)
Layout/signoff (PVS/Pegasus, Calibre)
Synthesis/APR/Physical design (Genus, Innovus / DDI)
Revision control experience and methodology recommendations (perforce/versIC)
Internal and external IP management
Supporting multiple PDKs simultaneously
Familiarity with TSMC and GF preferred
Scripting & automation: Python, Perl, Tcl, Bash/Shell, SKILL; automating EDA flows, tool setup, regression runs, log parsing, environment configuration, and design-data processing.
License management: FlexNet/FlexLM administration and troubleshooting, including license-server configuration, lmstat/lmutil diagnostics, feature availability, checkout failures, queueing, utilization monitoring, and vendor-daemon issues.
EDA infrastructure support: Linux/Unix environment troubleshooting, LSF/Slurm/Grid Engine compute-farm integration, environment modules, tool-version management, and debugging interactions between EDA applications, compute infrastructure, and license servers.
CAD flow development: Development and support of scripted flows integrating tools such as Cadence Virtuoso, Spectre, Xcelium, Synopsys, or Siemens EDA with internal automation, regression, and verification infrastructure.
Demonstrated history of solving problems for EDA users
Nice-to-haves:
Remote computing support experience (ETX)
Experience supporting engineering across multiple international locations
Some degree of sysadmin ability
Build systems: Make/GNU Make, CMake, custom Makefile-based flows; maintaining build dependencies, environment setup, and reproducible EDA/CAD workflows.
CI/CD & regression infrastructure: Jenkins, GitLab CI/CD, GitHub Actions; developing and supporting automated regression, validation, build, and deployment pipelines for EDA tools and design flows.
Skills Required
- Deep understanding of Cadence tool flow
- Experience with analog and mixed-signal design tools including Virtuoso, AMS, and Spectre
- Experience with layout and signoff tools including PVS, Pegasus, and Calibre
- Experience with synthesis, automatic place-and-route, and physical design tools including Genus, Innovus, or DDI
- Revision control experience and methodology recommendations using Perforce or VersIC
- Internal and external IP management experience
- Experience supporting multiple PDKs simultaneously
- Familiarity with TSMC and GlobalFoundries
- Scripting and automation experience with Python, Perl, Tcl, Bash/Shell, or SKILL
- FlexNet/FlexLM license management and troubleshooting experience
- Linux/Unix environment troubleshooting experience
- Experience integrating LSF, Slurm, or Grid Engine compute farms
- Experience with environment modules, tool-version management, and EDA infrastructure debugging
- EDA flow development integrating Cadence Virtuoso, Spectre, Xcelium, Synopsys, or Siemens EDA
- Demonstrated history of solving problems for EDA users
- Remote computing support experience, including ETX
- Experience supporting engineering teams across multiple international locations
- System administration ability
- Experience with Make, GNU Make, CMake, and Makefile-based flows
- CI/CD and regression infrastructure experience with Jenkins, GitLab CI/CD, or GitHub Actions
What We Do
Mythic develops cutting-edge Analog Processing Units (APUs) utilizing unique analog compute-in-memory technology. This innovative approach aims to deliver highly energy-efficient and cost-effective AI inference solutions. By overcoming the memory bottlenecks inherent in traditional digital architectures, Mythic enables unparalleled performance-per-watt for AI workloads across diverse applications, including data centers, automotive, robotics, and defense industries.
