Mythic
Mythic

Device Reliability Engineer, Semiconductor

$165,000 – $195,000 per year

TLDR

Own automotive-grade qualification for AI silicon, from stress testing and failure analysis through reliability modeling and reporting.

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.

    Mythic is advancing AI computing with its innovative analog technology, achieving 100× the performance of traditional digital systems while maintaining competitive power and cost. Our platform is designed for developers seeking to unlock powerful AI applications across edge devices, industrial settings, and cloud environments. With a focus on making AI more accessible and efficient, we cater to a wide range of sectors, including autonomous systems, aerospace, and defense.

    Founded
    Founded 2012
    Employees
    51-200 employees
    Industry
    semiconductors
    Funding stage
    Series C+
    Total raised
    $290M raised
    Last funding
    Raised December 2025
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