---
title: 'EDA / CAD Engineer at Mythic'
canonical: 'https://feeny.ai/job/eda-cad-engineer-mythic-austin-qh2yvm2prd5z'
type: 'job'
last_seen: '2026-09-07'
---

# EDA / CAD Engineer at Mythic

- **Company:** Mythic
- **Location:** Austin, TX
- **Compensation:** $150k–$260k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/mythic-ai.com/d9335250-2818-427c-91d5-8099af64734d

## Job description

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.

## About Mythic

## Company Overview
- **One-liner**: Mythic is a semiconductor company developing analog compute-in-memory (CIM) processing units that deliver up to 100x greater energy efficiency for AI inference at the edge, in automotive, and in the data center.
- **Entity Type**: Private (Series C; total funding $290.4M as of 2021)
- **Headquarters**: Austin, Texas, United States (with offices in Silicon Valley, Vancouver, and Bangalore)
- **Founded**: 2012
- **Founders**: Mike Henry, Dave Fick, and Laura Fick (co‑founder and Chief Analog Compute Architect)

## Core Business
- **Primary industry**: Semiconductor manufacturing – AI hardware accelerators
- **Target customers**: B2B – OEMs and system integrators in automotive, defense, robotics, industrial IoT, and enterprise data centers
- **Mission statement**: “Enable a new era of AI performance and innovation by making it easier and more affordable to deploy powerful AI solutions, from the data center to the edge device.”

## Products & Services
- **Mythic APU (Analog Processing Unit)**: A chip built on analog compute-in-memory architecture that stores AI model weights inside flash memory and performs computation directly at the source, eliminating the energy wasted by moving data between processor and memory. Delivers up to 100x system‑level performance‑per‑watt‑per‑dollar vs. conventional digital/GPU inference. Available today for edge and enterprise deployments.
- **Mythic Software Platform**: A unified hardware/software stack that simplifies deploying AI models on the APU, including compilers, runtimes, and model optimization tools.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (private company)
- **Key Metric**: $14.1M annual revenue (2026 estimate); $290.4M total funding raised across 8 rounds, including a $70M Series C in 2021 led by Hewlett Packard Enterprise and BlackRock, with earlier rounds led by SBVA (SoftBank) and Valor Equity Partners.
- **Notable Investors / Partners**: BlackRock, Hewlett Packard Enterprise, Valor Equity Partners, SBVA (SoftBank). The team includes veterans from NVIDIA, ON Semiconductor, and Luminar.
- **Growth Signals**: 
  - Headcount grew 46.4% YoY (to ~42 employees as of 2026).
  - Acquired Videantis (Jan 2026), a German AI processor company whose silicon is already running in 30 million production vehicles, giving Mythic an instant automotive ADAS footprint.
  - Active job postings for 18 open roles across hardware, software, and corporate functions.
  - Expanding into India with a VP of Mythic India and a Bangalore office.

## Competitive Advantages
- **Analog Compute-in-Memory**: Eliminates the Von Neumann bottleneck by computing in analog directly where data is stored, achieving up to 100x better energy efficiency than traditional digital or GPU inference.
- **Automotive‑Grade from Day One**: The Videantis acquisition provides proven, scalable ADAS/AD platforms already deployed in millions of vehicles, with customers like Bosch, Continental, and Valeo.
- **Proven Silicon**: Mythic’s APU is operational and available today, not theoretical.
- **Deep Talent Pool**: Team includes experts from NVIDIA, ON Semiconductor, Cisco, and leading chip companies, with a strong mix of analog, digital, and AI expertise.

## Strategic Focus
- **Scale the Automotive Business**: Leverage the Videantis acquisition to become a major player in automotive ADAS and autonomous driving compute.
- **Expand into Defense and Industrial**: Target high‑reliability, low‑power AI applications in defense, robotics, and industrial IoT.
- **Data Center Edge**: Deliver efficient inference for enterprise AI workloads that cannot afford the power cost of traditional GPUs.
- **Grow Global Team**: Build out software, hardware, and field engineering teams, particularly in India and the U.S.

## Why Work Here
- **Impactful Mission**: Work at the frontier of AI hardware, solving the fundamental energy efficiency problem in AI compute.
- **Collaborative, Results‑Focused Culture**: Mythic describes itself as a “collaborative, results‑focused team where everyone has a chance to contribute and lead.”
- **Rapid Growth**: 46% YoY headcount growth and a recently acquired company signal strong momentum and career growth opportunities.
- **Diverse Technical Challenges**: Roles span chip design, compiler engineering, AI algorithms, firmware, and systems engineering.
- **Hybrid/Office Policy**: Some roles are listed as hybrid (e.g., Palo Alto, Austin) or fully on‑site; exact policy varies by position. The company has offices in Austin, Silicon Valley, and Vancouver, with a growing presence in Bangalore.
- **Notable Perks**: Not explicitly stated, but working at a well‑funded, pre‑IPO startup in the AI hardware space typically offers equity, competitive compensation, and the chance to shape the future of computing.

## Sources
1. [Mythic Official Website](https://www.mythic.ai/)
2. [Mythic Careers Page (Lever)](https://jobs.lever.co/mythic-ai.com)
3. [Mythic Team Page](https://www.mythic.ai/company)
4. [Mythic LinkedIn Company Profile](https://www.linkedin.com/company/mythic-ai)
5. [Mythic Join Us Page](https://mythic.ai/join-us/)

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