---
title: 'Device Reliability Engineer, Semiconductor at Mythic'
canonical: 'https://feeny.ai/job/device-reliability-engineer-semiconductor-mythic-austin-vjjf24rcvntc'
type: 'job'
last_seen: '2026-10-19'
---

# Device Reliability Engineer, Semiconductor at Mythic

- **Company:** Mythic
- **Location:** Austin, TX
- **Compensation:** $165k–$195k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-01
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.lever.co/mythic-ai.com/3645d25b-0acb-4888-bbcc-4c4e32b73edd

## Job description

Mythic is building next-generation AI silicon, and we're looking for a hands-on Reliability Engineer to help ensure our chips are qualified, robust, and ready for the environment our customers depend on. Early on, you'll help build out the qualification plan for our next-generation product — a chip that blends analog/mixed-signal circuitry and embedded flash memory, with automotive-grade qualification as a critical part of the bar it needs to clear. This is a hands-on, physical-silicon role — centered on stress testing, failure analysis, and qualification execution rather than software or firmware — and it's a great fit for someone who enjoys taking ambiguous, early-stage problems and turning them into rigorous, repeatable qualification and reliability practices that give the company (and our customers) confidence in the product.

## What you'll do

- Build and drive Mythic's reliability and qualification strategy, including the qualification plan for our next-generation product

- Own automotive-grade qualification planning and execution, including stress testing (e.g., HTOL, HAST, TC, autoclave) and reliability modeling

- Partner closely with design, test engineering, quality, and manufacturing teams to ensure products meet reliability and qualification requirements

- Analyze reliability and failure data to identify systematic issues, wear-out mechanisms, and opportunities to improve robustness

- Work directly with OSATs, foundries, and external test labs to execute qualification and reliability test plans

- Make informed tradeoffs across reliability margin, qualification timeline, cost, and product schedule

- Improve infrastructure, documentation, and analytics for reliability tracking and qualification reporting

- Operate as an individual contributor who is comfortable getting deep into reliability data, failure analysis, and cross-functional execution

## What you'll bring

- 5+ years of experience in semiconductor reliability engineering, qualification engineering, or a related silicon production role

- Experience taking silicon products through automotive qualification (e.g., AEC-Q100 or similar)

- Hands-on experience designing and executing reliability stress tests and qualification plans

- Deep understanding of semiconductor failure mechanisms, wear-out, and reliability modeling

- Strong debug instincts and data fluency — you know how to find signal in noisy reliability and failure data

- Experience working cross-functionally with design, test, quality, and manufacturing teams

- Comfortable operating with urgency, ambiguity, and a high bar for execution

- Builder mindset: you do not wait for perfect structure — you create it

At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully. Mythic is an equal opportunity and affirmative action employer. It ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.

## 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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